FRAUDFORWARD
#102

一体何を加速させるのか?ナイラ・コルテスと語る、フィンテック革新の“詐欺”の側面

61 min

やあ、フロードファイターのみんな。Fraud Forward へおかえり!

この対話は、今まさに多くの人にとって必要なものだと思います。

金融サービスの世界は急速に変化しています。フィンテックの革新、金融サービスにおけるAI、リアルタイム決済、エンベデッド・ファイナンス、デジタル資産、そして決済システムの近代化などにより、金融機関が会員や顧客にサービスを提供する方法は大きく変わりつつあります。

それから、はっきりお伝えしておきたいのは、不正対策に取り組む人たちは決してイノベーションに反対しているわけではない、ということです。

私たちは「ノー」と言うだけの部署ではありません。私たちは、フィンテックのイノベーションが管理体制よりも速く進んでしまったとき、フィンテックのコンプライアンスが単なるチェックリスト扱いされたとき、そして不正リスク管理が「何か問題が起きてから」初めて議論されるときに、何が起こるのかを知っている人間です。

今回のエピソードでは、ナイラ・コルテスさんをお迎えし、フィンテックのイノベーションが、信用組合や地域銀行、不正対策チーム、BSA担当者、コンプライアンス責任者、そして人々をリアルタイムで守ろうとしている現場スタッフにとって本当は何を意味するのかについて、じっくりと語り合います。

なぜなら、あらゆる不正行為の裏側には、必ずお客様がいるからです。会員がいます。家族がいます。その人の信頼や尊厳、そして経済的な安定が、取り返しのつかない影響を受けるかもしれないのです。

だからこそ、この対話には意味があるのです。

このエピソードでお届けする内容:

  • フィンテックの革新が金融機関内部の不正リスクをどのように変えているかを実務的な視点から考察する
  • なぜモダナイゼーションは新たな機会を生み出す一方で、攻撃対象領域も拡大させてしまうのか
  • 金融サービス分野で、何か問題が起きる前に整えておくべきAIガバナンスの姿とは
  • ガバナンスを組み込むことで、金融サービスにおけるAIはどのように不正防止戦略を支援できるのか
  • なぜリアルタイム決済にはリアルタイムの不正対策オペレーションが必要なのか
  • フィンテックとの提携とサードパーティリスク管理が、どのように見えないリスクを生み出すのか
  • なぜフィンテックのリスク管理には、不正対策、コンプライアンス、BSA、AML、オペレーション、そして現場チームを含める必要があるのか
  • すでにリソースが逼迫している状況で、地域銀行のフィンテック導入はどのような姿になるのか
  • 損失が報告書に表れる前に運用準備が重要となる理由
  • 犯罪被害者の存在を忘れずに、フィンテックの不正防止をどのように支援できるか

これは政治的な議論ではありません。営業トークでもありません。責任を持ってモダナイズを進めるために何が必要かを、実務的かつ率直に話し合う場です。

対象となる方:

このエピソードは、日々現場で戦っている不正対策のプロフェッショナルたちのためのものです。

  • 不正対策部門の責任者および不正分析担当者
  • BSA・AML担当責任者
  • リスクおよびコンプライアンス部門のリーダー
  • コミュニティバンクおよび信用組合のチーム
  • 第一線の窓口係および会員サービス担当者
  • ベンダーリスクおよびフィンテック提携チーム
  • サイバーセキュリティおよび決済の専門家
  • 規制当局および政策アドバイザー
  • フィンテックのイノベーション、不正防止戦略、消費者保護、そして現場のオペレーションの現実とのバランスを取ろうとしているあらゆる人へ

もし小さな金融機関の中で「なんてこった、大手銀行と同じスピードで動けと言われているのに、うちには同じだけのリソースがない」と感じているなら、私の話を聞いてほしいのです。

あなたが遅れているのは、何かを間違っているからではありません。フィンテックのイノベーションが、リスクを管理するために利用できるリソースよりも速いスピードで加速している環境で、あなたは活動しているのです。

つまり、私たちはとても意図的に行動しなければならないということです。

エピソードノート:

フィンテックのイノベーションは急速に進んでいますが、不正リスクもそれに伴って高まっています

新しいアクセスポイントが増えるたびに、犯罪者が試す場所も増えていきます。支払いレールが高速化するたびに、不正を食い止めるための時間的な余裕は縮まります。あらゆる組み込み型フィンテックの提携は、ベンダーリスクやデータアクセス、業務上の責任、そしてフィンテック規制に関する論点という、もう一つのレイヤーを持ち込むことになります。

そう、だからこそ私たちは革新していきましょう。

プロダクトを本番稼働させる前に、不正対策、コンプライアンス、BSA、AML、オペレーション、そしてフロントラインの各チームにも議論に参加してもらいましょう。

AIは役に立つが、それにはガバナンスが伴わなければならない

金融サービスにおけるAIは、すでに不正対策やコンプライアンス業務の一部となっています。パターン検知、誤検知(フォルス・ポジティブ)の削減、ケースサマリーの作成、取引モニタリングのレビュー、異常検知、アナリストの業務能力向上などに役立ちます。

それは本物です。

AI を魔法のボタンのように扱うことはできません。AI モデルが意思決定プロセスの一部である場合、そのモデルがどのように検証されたのか、誰がレビューしたのか、人による監督がどのように機能しているのか、そして組織がドリフトやバイアス、誤検知をどのように監視しているのかを把握しておく必要があります。

AI は優れた意思決定を大規模に展開できる。

悪いものも拡大してしまう可能性があります。

だからこそ、金融サービスにおけるAIガバナンスは「あれば良い」ものではありません。責任あるフィンテック・コンプライアンスと、より強固な不正リスク管理の一部なのです。

より迅速な支払いには、より迅速な不正対策が必要です

リアルタイム決済によって計算が変わった。

多くの場合、もはや意味のあるリカバリーの猶予はありません。アラートが確認される頃には、エスカレーションメールが開かれる頃には、あるいはメンバーが何が起きたかに気づく頃には、すでにお金が失われてしまっている可能性があります。

つまり、不正防止はもっと早い段階にシフトさせる必要があります。

より優れた認証、より精度の高い行動シグナル、詐欺の手口に関するより深い理解、そして適切なタイミングで適切な摩擦(チェックや確認)を設けることが必要です。

どこもかしこも摩擦だらけというわけではない。

正しい理由で、適切なタイミングに、ふさわしい休止を。

それは、カスタマーサービスとしての不正防止です。

第三者リスク管理は、書類の収集だけで終わらせてはならない

フィンテックとの提携は、特にコミュニティバンクが大手銀行のような予算や人員体制なしにフィンテックを導入している状況では、金融機関にとって大きなビジネスチャンスとなり得ます。

でもみんな、SOC 2 レポートを集めることと、リスクをきちんと理解することは全然別物なんだよ。

金融機関は、どのフィンテックとの提携が会員データに関わっているのか、どれが資金移動に関わっているのか、第四者リスクがどこに存在するのか、そしてそれらのパートナーが不正対策、インシデント対応、マネーロンダリング対策(AML)に関する要件、継続的なモニタリングをどのように行っているのかを把握する必要があります。

それがフィンテックのリスク管理です。

それがサードパーティリスク管理です。

そして、その地図を描くことができなければ、その上にあるリスクを管理することもできない。

不正対策とコンプライアンスは、今や一体となった議題です

不正行為はサイロの中だけで起こるものではない。

詐欺は同時に、不正行為の事案であり、SAR(不審行為報告)の検討事項であり、消費者保護上の懸念であり、レギュレーションEに関わる問題であり、そして会員体験の危機にもなり得ます。

不正対策とコンプライアンスがいまだに別々に動いているようでは、必ず隙間が生まれます。責任の所在の隙間。報告体制の隙間。エスカレーションの隙間。会員サポートの隙間です。

ナイラと私は、良いコラボレーションとは実際にどのようなものかについて話します。

  • 共有の可視性
  • 共通言語
  • 明確に定義されたエスカレーション経路
  • 類型変更における共同所有
  • 不正対策部門とコンプライアンス部門との四半期レビュー
  • 明確なリーダーシップの支援

そして、いいえ、これは会議のための会議を増やすという意味ではありません。

それは、いざというときに適切な人がより迅速に行動できるよう、共通のインフラを整備することを意味します。

重要なポイント:

  • フィンテックの革新は新たな機会を生み出す一方で、不正行為のリスクも拡大させます。
  • 不正対策に取り組む私たちは、イノベーションに反対しているわけではありません。責任あるイノベーションを支持しているのです。
  • フィンテックのイノベーションには、最初の段階からフィンテック・コンプライアンス、フィンテック規制、そして不正リスク管理を組み込まなければなりません。
  • 金融サービスにおけるAIは不正検知を支援できますが、そのためにはガバナンス、検証、人による監督、そして十分な文書化が必要です。
  • 金融サービスにおけるAIガバナンスは、当局から問われる前から重要である。
  • リアルタイム決済では、不正対策チームは返金・回収が可能な時間内に動かなければならず、その後に対応していては間に合いません。
  • サードパーティリスク管理では、単に書類を集めるだけでなく、フィンテック企業との提携関係を積極的に監督することが不可欠です。
  • 不正防止の戦略は、損失を減らすだけでなく、会員を守るものでなければなりません。
  • コミュニティバンクがフィンテックを導入する際には、人員体制、ガバナンス、文書管理、そして業務運営の準備状況を考慮しなければならない。
  • フィンテックにおける不正防止は、不正対策チームとコンプライアンスチームが同じ情報を共有し、共通の言語で連携し、明確なエスカレーション経路を持っているときに最も効果を発揮します。
  • 小規模な機関は、すべてを一度に改善する必要はありません。まず自分たちの現状を把握し、最も重要なギャップを特定して、そこから取り組み始めればよいのです。

このエピソードはフィンテックのイノベーションについてのものです。ですが、本当に伝えたいのは「備えができているか」ということです。

重要なのは、不正対策担当者、コンプライアンスチーム、BSA責任者、現場スタッフ、リスク管理のリーダーたちが、事後になってから呼び出され、本来なら彼らが同席したうえで設計されるべきものの後始末を頼まれるようなことがないようにすることです。

イノベーションとリスクの低減は同じものではない。

それらは共存することはできますが、自動的に一体となるわけではありません。

加速する前に、まずガバナンスを構築しなければなりません。スピードを上げる前に、自分たちの現在地を正しく理解する必要があります。そして、不正対策とコンプライアンスを別々の議題として扱うのはやめるべきです。今やこの二つは一体のものだからです。

不正対策に携わる皆さん、あなた方の仕事には大きな意味があります。会員の方々は、あなたの名前を知らないかもしれませんが、あなたがこの仕事をしっかりとやっているとき、その成果を確かに感じています。

常に警戒を怠らず、正しい情報を持ち、詐欺対策を前進させ続けましょう。

Episode transcript
Hailey Windham
Hailey Windham
00:02
What’s up, fraud fighters? So we recently celebrated 100 episodes of Fraud Forward, which honestly still feels surreal to say out loud, you know? And the timing of this conversation for today actually feels kind of perfect because the industry is moving fast right now.
Hailey Windham
Hailey Windham
00:18
On May 19th, the White House released a presidential action titled Integrating Financial Technology Innovation Into Regulatory Frameworks. That’s a tongue twister.
Hailey Windham
Hailey Windham
00:31
If you haven’t read it yet, the high-level focus is really around accelerating financial innovation in the United States. The order talks about modernizing regulatory frameworks, reducing friction, supporting fintech innovation, expanding access to digital financial infrastructure, encouraging AI development, and helping financial institutions adopt newer technologies faster.
Hailey Windham
Hailey Windham
00:58
There’s also discussion around payment systems modernization, digital assets, and reevaluating how regulators approach emerging financial technology overall.
Hailey Windham
Hailey Windham
01:09
Now that I’ve had a little more time to digest this, my first reaction was probably the same that a lot of fraud fighters had. Like, I understand the innovation conversation, but what happens operationally?
Hailey Windham
Hailey Windham
01:24
Because anytime we start talking about faster adoption, reduced friction, real-time movement, AI acceleration, embedded finance, digital infrastructure modernization, fraud teams immediately start asking a very different set of questions.
Hailey Windham
Hailey Windham
01:41
Questions like, what about authentication? What about synthetic identities? What about scam prevention? How about governance? What about examination expectations and operational readiness? What about consumer protection?
Hailey Windham
Hailey Windham
01:57
Because innovation and fraud pressure tend to scale together. That’s just the reality.
Hailey Windham
Hailey Windham
02:03
Which is why this conversation feels especially important right now, because we’re watching multiple things evolve simultaneously. You know, financial systems are modernizing rapidly, payment ecosystems are accelerating, AI capabilities are expanding literally daily, digital assets continue maturing.
Hailey Windham
Hailey Windham
02:25
And at that same time, global scam infrastructure is becoming more organized, more industrialized, and frankly, more sophisticated than most people fully realize.
Hailey Windham
Hailey Windham
02:15
Meanwhile, fraud teams are over here trying to stabilize reporting, staffing, governance, investigations, and operational maturity while the pavement underneath them keeps speeding up.
Hailey Windham
Hailey Windham
02:28
And I want to be clear. Fraud fighters do not hate innovation. We just know that with every new convenience layer, that creates a new attack surface, too.
Hailey Windham
Hailey Windham
02:39
And sometimes I think those operational realities get left out, you know, of the bigger innovation conversation.
Hailey Windham
Hailey Windham
02:47
So today I wanted to bring one of my favorite people in the world to reality check these conversations with me. And that’s Nyla Cortes, the Director of Risk and Compliance for Earth Mover Credit Union. So Nyla, welcome back to Fraud Forward.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
02:56
Hi, Hailey. Thank you so much for having me back. I always look forward to these conversations because they’re never really the easy version.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
03:06
I think that we tend to really deep dive. And this topic is exactly the kind that I think needs the really messy, honest treatment.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
03:16
I’ll also say up front that I’m coming into this kind of cautiously optimistic. I think there are real opportunities in what the administration is trying to do, and I think there are some real operational questions that the policy hasn’t fully quite answered yet.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
03:32
So I’m happy to sit in both of those kinds of places today.
Hailey Windham
Hailey Windham
03:40
I always love having you in these conversations because you don’t let me stay at surface level. You know, you pull it down into the operational reality really fast. And I think that’s exactly what this topic needs.
Hailey Windham
Hailey Windham
03:55
And I do want to say before we get into the weeds, I want listeners to know that this is not a political conversation. We’re not here to debate the executive action itself or whether it should or shouldn’t exist.
Hailey Windham
Hailey Windham
04:10
What we’re here to do is talk about what it means for the people actually running fraud and compliance operations inside financial institutions right now.
Hailey Windham
Hailey Windham
04:20
So let’s get into it. Okay, I want to start with gut reactions because I think first reactions are actually really telling, especially for people who spend every day thinking about risk.
Hailey Windham
Hailey Windham
04:32
You know, when you first read through this executive action, or at least the highlights, which I did see that they posted that too, which was really cool.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
04:34
This is really cool.
Hailey Windham
Hailey Windham
04:34
What stood out to you immediately? Like what made you lean in and think, okay, this is something we’ve needed? And then what made you pause and think, wait, we need to talk about this?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
04:44
Yeah, I definitely had a split reaction. I would say what excited me was the acknowledgement that a lot of our regulatory framework was built for a brick-and-mortar environment. Right?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
04:58
That’s a fair observation. We’ve been operating under guidance that predates real-time payments being mainstream. So the idea of modernizing those frameworks to reflect the environment we’re actually in, that’s a good thing in theory.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
05:15
I also noticed that the order specifically calls out third-party risk management. That’s a conversation that’s been overdue for a refresh because the way we evaluate fintech partnerships now wasn’t really built for the velocity of relationships institutions are really entering into.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
05:37
So where I really paused was with how the language around streamlining and reducing barriers to entry can mean a few different things depending on who is actually interpreting it.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
05:52
It can mean cleaner pathways and clearer expectations, which I’m all for and I think a lot of people are for, or it can mean fewer guardrails at the point of access, which is a completely different conversation.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
06:07
And right now, we just don’t know which version we’re actually going to get because the regulators haven’t responded yet.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
06:15
The dates I’m really watching for are the 90-day review window and the 180-day innovation deadline. So by mid-August, we should start seeing what each regulator’s assessment actually looks like. And that’s when this will get real for operations teams.
Hailey Windham
Hailey Windham
06:26
I think my reaction had that same split in it. You know, there were things in here that genuinely excited me. The idea of modernizing regulatory frameworks. I mean, fraud teams have been navigating guidance that was written before real-time payments were a mainstream reality.
Hailey Windham
Hailey Windham
06:47
So in theory, updated frameworks that reflect the actual environment we’re operating in, that’s a good thing.
Hailey Windham
Hailey Windham
06:55
But then there’s that other side because I see the language too, like what you were saying, that reducing friction and accelerating adoption. My fraud brain automatically translates that to reducing friction means reducing controls or guardrails.
Hailey Windham
Hailey Windham
07:12
And some of those guardrails exist for a reason.
Hailey Windham
Hailey Windham
07:16
So when you’re reading through policy language like that, you know, I’ve picked on you before just because I can, that you’re the compliance nerd who actually likes to read these things.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
07:16
Yes.
Hailey Windham
Hailey Windham
07:16
But when you’re reading through policy language like that from that compliance perspective, how do you parse what’s intentional versus what’s just not fully thought out yet operationally?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
07:29
I think that you read it through the lens of who has to operationalize it, right?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
07:37
So policy at the federal level is written to set direction. It’s not written to be a procedure, and that’s normal.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
07:46
The gap between direction and procedure is where compliance teams live every single day.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
07:53
So when I read language like reduce unnecessary barriers to entry, my job isn’t to assume the worst or assume the best. My job is to flag the operational questions that haven’t really been answered yet, so we’re not the institution that unfortunately finds out the hard way. Right?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
08:15
And to your earlier point about fraud fighters not being anti-innovation, I want to underline that. We are not the department of no.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
08:25
But we have seen what happens when convenience scales faster than control. Every new access point is a new attack surface. That’s not pessimism. That’s purely pattern recognition.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
08:41
So when I lean into a policy like this, I’m leaning into it with operational questions, not political ones.
Hailey Windham
Hailey Windham
08:47
I think that’s the tension that fraud and compliance teams are going to be sitting with for a while as this gets interpreted and implemented.
Hailey Windham
Hailey Windham
08:57
And I’m going to repeat something that I said earlier in this intro, and I said it last week, and you just said it again, but I feel like it’s one of those things that it’s okay to repeat it, and I might even get it tattooed on my forehead.
Hailey Windham
Hailey Windham
09:13
Fraud fighters do not hate innovation. You even said it. We’re not the department of no.
Hailey Windham
Hailey Windham
09:21
But we do know from experience that every new convenience layer creates that new attack surface.
Hailey Windham
Hailey Windham
09:29
Every time you speed something up, you shrink the window to catch something before it’s gone. Every time you add a new access point, you create a new place for bad actors to probe.
Hailey Windham
Hailey Windham
09:40
And again, you’re right. That is the pattern recognition, and that’s why these conversations matter.
Hailey Windham
Hailey Windham
09:49
So I think one of the things that you and I do really well, kind of magically, is bringing that operational reality to the conversation. It’s one thing that Fraud Forward was built on, which was bringing those practical insights into the industry.
Hailey Windham
Hailey Windham
10:07
So I want to talk about what this actually looks like on the ground, because the federal level conversation has a particular cadence to it, right? It sounds like modernize, accelerate, adopt, innovate.
Hailey Windham
Hailey Windham
10:22
But then you hand that to the financial institution and especially a community bank or credit union, and they’re looking at their actual operational reality, and the questions they’re asking are completely different.
Hailey Windham
Hailey Windham
10:36
You know, it’s who monitors it? Who owns it? Who examines it? Who reimburses it when something goes wrong? Who explains it to the board? And who gets blamed when it fails?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
10:29
Right.
Hailey Windham
Hailey Windham
10:51
You know, those are those real questions.
Hailey Windham
Hailey Windham
10:36
So, Nyla, from where you sit in risk and compliance, when you look at what it would actually take to operationalize faster fintech adoption, what does that look like realistically for a midsize or smaller institution right now?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
10:46
Yeah, that’s a good question. So this is the part of the conversation that can get glossed over the most.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
10:54
When you’re at a community bank or a credit union, modernization isn’t really seen as a strategy slide. It’s a series of trade-offs.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
11:06
So every new capability has a cost stack behind it. The technology cost is actually the smallest piece of it. The bigger costs are the governance lift, the policy updates, procedure rewrites, the training, monitoring, reporting, and the staffing to support it ongoing. Right?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
11:29
And we’re absorbing all of that into existing teams that already are running lean.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
11:36
So when the federal conversation says to accelerate adoption, what that actually means at my level is one person doing the vendor risk assessment, another updating the BSA risk assessment, someone else updating the fraud monitoring rules, the BSA officer evaluating AML implications, and then the compliance team checking consumer protection, and then, you know, a board memo to wrap it all up in a pretty little bow that explains the residual risk.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
12:10
That’s just for one product launch.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
12:13
So the resource reality of that is it’s hard. And it’s not a complaint. It’s honestly just the math of it. And it means smaller institutions have to be really intentional about pacing because we can’t absorb five new initiatives at once without something breaking.
Hailey Windham
Hailey Windham
12:20
So true. I think the resource reality for smaller institutions is just so much fundamentally different than that of the larger FIs.
Hailey Windham
Hailey Windham
12:31
You know, a top-tier bank has entire departments dedicated to that AI governance, the fintech partnerships, the compliance infrastructure, right?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
12:29
Mm-hmm.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
12:43
Yeah, they do.
Hailey Windham
Hailey Windham
12:42
And they have budget, the headcount, the legal teams, where a community bank or credit union is potentially asking, like you said, the one person to figure all of that out.
Hailey Windham
Hailey Windham
12:58
And which again, it’s not even a criticism on this part. It’s just the reality that the resource environment they’re operating in is just so different.
Hailey Windham
Hailey Windham
13:11
So when we talk about modernization, the implementation gap between a large FI and a smaller one is truly significant.
Hailey Windham
Hailey Windham
13:20
So for you, and I’d like to ask, what does that gap look like from your experience? And where do smaller institutions tend to struggle the most when they’re trying to keep pace?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
13:21
Yeah, no, the gap is real, and we should name it.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
13:28
A top-tier bank has entire teams dedicated just to AI governance, to fintech partnerships, model risk management, third-party oversight, right? They have legal, data science, dedicated examination liaisons. Their compliance function alone is probably bigger than the entire risk department at most community institutions.
Hailey Windham
Hailey Windham
13:26
Ha ha ha.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
13:50
So at a smaller FI, the same person is often wearing five different hats. If you know me, I’m always talking about us multi-hat wearers, right?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
14:04
So the BSA officer is also doing OFAC, also reviewing wires, also responding to subpoenas, writing board memos. The fraud manager is also the person that’s handling all the card disputes, ACH, Zelle, account takeover cases, check fraud, and somehow also building scam typologies for member education.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
14:31
So where I see smaller institutions struggle the most is in about, I would say, three different places.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
14:41
So first would be visibility. This looks like fragmented tools, which mean fragmented data. We see card fraud in one system, ACH in another, Zelle in another, account takeover signals somewhere else.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
14:57
So stitching that into a clear picture of fraud exposure takes time. And most teams don’t really have the bandwidth to do it as often as they should.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
15:09
Second would be vendor and fintech oversight. So when you have a small vendor management function, you end up relying on what the vendor just tells you about their own controls. And that’s not the same as independent assurance.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
15:25
And then third would probably be governance documentation. A lot of smaller institutions are doing the right work but haven’t really memorialized it in a way that holds up under examination.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
15:42
So the activity is happening. The documentation isn’t.
Hailey Windham
Hailey Windham
15:31
That even tracks with what I’m seeing in the benchmarking conversations that I’m having right now. It’s those visibility gaps, the staffing models, the fragmented tools environments that you mentioned. It is consistent.
Hailey Windham
Hailey Windham
15:48
And so there is a call-out that I have, you know, directly to anyone who is at a smaller institution that’s feeling that pressure right now.
Hailey Windham
Hailey Windham
15:57
You’re not behind because you’re doing something wrong. You’re behind because the environment is accelerating faster than the resources available to you to manage it.
Hailey Windham
Hailey Windham
16:10
And that matters because the answer isn’t just move faster, right? The answer is understand your current state first, because you cannot modernize safely if you don’t know where you actually are, which is something we are going to come back to in this conversation.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
16:16
Mm-hmm.
Hailey Windham
Hailey Windham
16:30
But I also want to talk about the piece of this that I think is generating the most conversation right now, which is AI.
Hailey Windham
Hailey Windham
16:39
Uh-huh. In case you didn’t know that we were going to talk about AI on this episode. Really?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
16:31
Yeah.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
16:33
Shocker.
Hailey Windham
Hailey Windham
16:48
So the executive action references innovation in AI repeatedly, right? Which makes sense because, you know, AI is not a theoretical or future conversation in fraud anymore. It’s a right now conversation.
Hailey Windham
Hailey Windham
17:02
We have institutions that are using AI for fraud detection. We have fraud being perpetrated using AI. We have AI being embedded in customer-facing products that affect fraud exposure.
Hailey Windham
Hailey Windham
17:17
So I want to talk about both sides of this because I think there’s a tendency in the industry right now to either be fully in the AI hype cycle, you know, like AI is going to solve everything, or to be completely dismissive of it entirely.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
17:16
Right.
Hailey Windham
Hailey Windham
17:36
And neither one of those is useful.
Hailey Windham
Hailey Windham
17:23
So Nyla, starting with the opportunity side of this, where do you see AI genuinely helping fraud and compliance operations when it’s implemented well?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
17:36
I would say I’m cautiously optimistic on AI and fraud and compliance, and I want to really be specific about where the wins actually show up because the hype cycle can kind of blur this.
Hailey Windham
Hailey Windham
17:36
Mm-hmm.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
17:52
So the clearest win, I would say, is reducing analyst burden on high-volume, low-complexity work. Things like dispute intake triage, initial transaction monitoring review, false positive reduction, summarizing case notes, drafting the first pass of narratives.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
18:15
That can be actually real-time savings, and it lets your investigators spend more time on the super complex cases that actually need human judgment.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
18:29
The other win is pattern detection at scale. So behavioral analytics, right? Anomaly detection across larger data sets, link analysis between accounts. Humans can’t process that kind of volume, but AI can.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
18:50
So when you pair AI pattern detection with human judgment on the back end, that’s where it can get powerful.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
18:58
But I want to be honest about the line that I see. AI augments. It doesn’t replace the human decision in fraud and compliance work.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
19:12
The institutions that treat AI as a labor replacement strategy instead of a capacity expansion strategy are the ones that I would be most curious where they are in a couple of years.
Hailey Windham
Hailey Windham
19:23
Getting a bumper sticker that says, AI augments. It doesn’t replace the human decision in fraud and compliance. I love it.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
19:28
Ha ha ha.
Hailey Windham
Hailey Windham
19:35
I think that, first of all, you hit the nail on the head, I think, in all of those scenarios that you offered. That operational efficiency piece is real. Reducing that manual review burden, faster investigations, better anomaly detection at scale.
Hailey Windham
Hailey Windham
19:53
You know, yeah, we might can do it for the one-off case where we just so happen to have all the right platforms up and reports out, and we just so happen to catch it. But at scale, we need that assistance.
Hailey Windham
Hailey Windham
20:08
And those are the legit wins, you know, when AI is implemented thoughtfully.
Hailey Windham
Hailey Windham
20:15
But the governance side of AI and financial services is still very much being figured out in real time. And I have a lot of questions that I think fraud and compliance teams need to be asking right now that not everyone is asking yet.
Hailey Windham
Hailey Windham
20:34
And it’s questions like, can you explain the decision? If an AI model flags a transaction or declines an account, can you articulate to an examiner why that happened in plain language?
Hailey Windham
Hailey Windham
20:48
And then what happens when the model is wrong? Because AI scales decisions, which means if the model is making good decisions, you scale good outcomes. But if the model has a flaw, a bias, a blind spot, a gap in training data, you scale that too.
Hailey Windham
Hailey Windham
21:08
You know, who approved the AI? Is there a governance framework in place? Who signed off on it? Who reviews it? Who updates it when the environment changes?
Hailey Windham
Hailey Windham
21:20
You know, Nyla, from a compliance standpoint, what do you think examiners are actually going to expect when AI is part of the decision chain, and how ready do you think most institutions are for that scrutiny right now?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
21:16
Hmm, I would say most institutions are not as ready as they think they are. And before you come for me, I will explain what I mean, okay?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
21:31
Examiners are going to want answers to, I would say, four different questions, right?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
21:38
So can you explain the decision in plain language? Can you show how the model was validated before it went into production? Can you demonstrate human oversight in that decision chain? And can you show how you’re monitoring for drift, bias, and false positives over time? Right?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
22:04
So a lot of institutions have adopted AI tools but haven’t built the governance framework around them. They have the tool. They don’t have the documentation. They have the detection. They don’t have a model risk management policy. And they have the output, but they don’t have a process for periodic revalidation.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
22:31
And here’s what I think makes AI different from other compliance areas, right? It scales decisions like we’ve been talking about. If the model is making good decisions, you scale good outcomes. If it has a flaw, a bias, a blind spot, you also scale that.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
22:52
So governance isn’t a nice-to-have. It’s what really will determine whether AI helps you or creates new exposure.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
23:03
So my honest take here is that institutions are going to need an AI governance policy, a defined model risk management process, documented human-in-the-loop controls, and a periodic validation cadence.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
23:20
If you have AI tools in production and you don’t already have those four things, that is where I would start.
Hailey Windham
Hailey Windham
23:14
I think that you made a really important point. A lot of the institutions right now are in this window where they’ve adopted quickly, but like you said, that governance documentation just hasn’t caught up yet. And that’s going to matter when regulators come in.
Hailey Windham
Hailey Windham
23:34
And so the line I keep going back to is this. AI can absolutely scale good decisions, but it can also scale bad ones. I think we both said that.
Hailey Windham
Hailey Windham
23:47
So the institutions that are going to navigate this well aren’t the ones who move fastest on the AI adoption. They’re the ones who build the governance infrastructure to support it before something goes wrong, because cleaning that up after the fact is a much harder conversation.
Hailey Windham
Hailey Windham
24:08
And I will call out, I know that I’ve shared this with others in the industry, but Sardine did do an AI governance framework report that they wrote up. So I will put that into the show notes as well.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
24:07
You sure did.
Hailey Windham
Hailey Windham
24:11
Because it’s one that I know that I’ve had several friends reach out and go, hey, this really helped me write my policy.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
24:18
Yep, it’s amazing.
Hailey Windham
Hailey Windham
24:20
So okay, we’re going to shift now to payments and fintech participation specifically, because this is where the attack surface conversation gets really concrete for fraud teams.
Hailey Windham
Hailey Windham
24:31
Real-time payments are not new at this point, but the volume, the velocity, and the customer expectation around the instant money movement has significantly shifted.
Hailey Windham
Hailey Windham
24:43
Faster payments means faster fraud. I don’t care who you are, I believe that fully.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
24:48
Yes, I am.
Hailey Windham
Hailey Windham
24:48
Narrower recovery windows, which why would I say that for myself? Because I’m literally creating my own tongue twister. Narrower recovery window. Narrower recovery windows. Less time to interrupt. And in some cases, no time at all. Right?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
24:56
Narrower.
Hailey Windham
Hailey Windham
25:06
Scammers know this. They are actively engineering fraud schemes around payment speed.
Hailey Windham
Hailey Windham
25:15
So from a risk perspective, how are you thinking about the intersection of real-time payment expansion and fraud exposure right now?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
25:22
Yeah, so real-time payments have changed the math on fraud response, right?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
25:29
So we used to have a recovery window. Now, in a lot of cases, the funds are gone before the member even realizes something happened.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
25:39
What that means operationally is that fraud prevention has to shift to the left, right? We always like that song, to the left, to the left.
Hailey Windham
Hailey Windham
25:45
I didn’t think I don’t.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
25:51
You can’t catch it at the back end anymore. You have to interrupt it at authorization, at authentication, or before the member even initiates the transfer. And that all is going to require behavioral signals, scam typology awareness, and the right friction at the right moment.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
26:14
And honestly, the scam landscape has to change too. Most of the Zelle account takeover cases that we see now don’t look like the fraud at the moment of authorization.
Hailey Windham
Hailey Windham
26:26
True.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
26:29
The member authenticated. The device was recognized. The member initiated the transfer because they were manipulated into doing it, right? So traditional rule-based monitoring isn’t built for that.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
26:45
So our control environment does have to evolve towards intercepting authorized fraud, not just unauthorized fraud.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
26:48
And that’s a fundamentally different problem, and it’s one I think the industry is truly the least prepared for right now.
Hailey Windham
Hailey Windham
26:55
I will say that I did have another section for us whenever I was working on our outline where we were going to go into the unauthorized and authorized, you know, portion of it. And I was like, you know what? That’s a whole nother episode.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
27:08
Literally it’s.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
27:19
And I could talk on that for hours.
Hailey Windham
Hailey Windham
27:11
I am not even going to, if we’re not going to touch that one. But I appreciate what you’ve called out because it needed to be said. But at the same time, that’s a whole nother episode.
Hailey Windham
Hailey Windham
27:22
Truly, truly.
Hailey Windham
Hailey Windham
27:25
So instead of diving deeper into the unauthorized, authorized conversation and who is responsible, you know, for that financial loss, let’s instead talk about the fintech partnerships on top of all of that that you just mentioned, right?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
27:33
Yeah. Yeah.
Hailey Windham
Hailey Windham
27:43
A lot of institutions are expanding their products through the embedded finance relationships. Fintechs plugging into their infrastructure. You’ve got sponsor bank relationships, third-party access. And every one of those relationships is a potential new entry point for fraud.
Hailey Windham
Hailey Windham
28:02
So the third-party risk management conversation has to evolve alongside the fintech participation conversation. They can’t be separate.
Hailey Windham
Hailey Windham
28:13
So where do you see institutions struggling most when it comes to third party and vendor oversight in this environment?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
28:17
This is one of the parts of the executive order I’m watching most carefully because the order specifically flags that current third-party risk management requirements may favor incumbents.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
28:31
So whatever comes out of that review is going to reshape how we evaluate fintech partnerships.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
28:40
So where I see institutions struggling right now is first in the inventory itself. A lot of FIs don’t have a clean current inventory of every fintech relationship that touches their environment, especially the indirect ones or the API integrations or the subprocessors. Because you can’t really manage what you can’t see.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
29:06
Second, I would say, is the depth of due diligence. So there’s a difference between collecting a SOC 2 report and actually understanding the fintech’s fraud controls or their incident response process or their AML program. A lot of due diligence stops at the document collection stage. That’s not the same as evaluation.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
29:32
And third is ongoing monitoring. So the contract gets signed, the assessment gets filed, and then nobody is looking at it again for two years. That’s really not monitoring. That’s just a binder on a shelf where you completed your checklist. Right?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
29:55
And I think the honest reality is that a lot of institutions signed fintech and embedded financial agreements before their third-party risk frameworks were really mature enough to fully account for the fraud exposure that those relationships could introduce.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
30:15
So now we’re retrofitting risk management onto already-live partnerships. And that’s a much harder conversation than building it in from the beginning.
Hailey Windham
Hailey Windham
30:22
And that’s something that institutions need to be actively auditing right now. We don’t need to wait for an examiner to surface that.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
30:26
Yes.
Hailey Windham
Hailey Windham
30:33
So, okay, I want to talk now about something that I think is becoming increasingly impossible to ignore. And that’s the fact that fraud and compliance are colliding in ways that they never used to.
Hailey Windham
Hailey Windham
30:47
These departments used to be able to operate pretty independently, you know, different functions, different reporting lines, different regulatory touch points. And that world is changing fast because the fraud we’re seeing now doesn’t respect those departmental boundaries.
Hailey Windham
Hailey Windham
31:07
Scam typologies are crossing compliance thresholds. AML and fraud are converging. Consumer protection expectations are landing in both lanes simultaneously.
Hailey Windham
Hailey Windham
31:20
And the institutions that are still operating with those hard silos between fraud and compliance are going to find themselves with gaps. You know, gaps in ownership, gaps in coverage, gaps in reporting, which creates real exposure.
Hailey Windham
Hailey Windham
31:38
Nyla, you sit in that intersection in a really direct way. How are you thinking about the convergence of fraud and compliance right now? And where do you think institutions are most behind in recognizing that these functions have to work together?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
31:46
Hmm. Hmm. This is a conversation I’ve been having internally for a while. And I think a lot of institutions should be having this conversation.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
32:00
And so I’m glad that we’re having it out loud right now.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
32:07
Fraud and compliance used to be able to operate in parallel lanes, right? Like fraud would handle the disputes side of things. Compliance handled BSA, OFAC, consumer protection. The lanes were clear. The data flowed differently. The reporting structures were separate. And that worked, right?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
32:36
When fraud was mostly transactional and compliance was mostly pragmatic. That world doesn’t exist anymore.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
32:47
Scam typologies have really just fully collapsed that boundary. A romance scam that ends in a wire transfer is a fraud case, a SAR-eligible event, a consumer protection issue, and even potentially a Reg E dispute all at the same time.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
33:08
Elder financial exploitation is the same. Pig butchering with a crypto off-ramp is the same. Authorized push payment fraud is the same. Every one of these touches fraud, BSA, and consumer protection simultaneously.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
33:27
So where institutions are most behind is in ownership. When fraud looks like a compliance issue and compliance looks like a fraud issue, who owns it? Who decides if a SAR gets filed? Who manages the member communication? Who decides if we’re liable for reimbursement? Who tracks the typology so we can prevent the next one?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
33:56
I can say that in the last year, a real focus at my institution has been moving away from the ownership conversation and directly towards collaboration between areas.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
34:09
When we hit a roadblock and everyone on the team is throwing up their hands and saying, I don’t own this, we stop. We evaluate how we got here, and we figure out how to fix it efficiently so the member gets the best experience.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
34:29
Because truly, at the end of the day, the member doesn’t care which department owns it, right? They care that we solved it. So always member experience at the forefront has really helped us in navigating and realigning to collaboration.
Hailey Windham
Hailey Windham
34:34
I want to ask on a personal level. I feel like you and I kind of have an advantage that others didn’t have. And I’ll say that because we worked together several years ago. You were compliance, BSA. I was fraud. And we instantly loved each other, and we’re best of friends, right?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
34:42
Mm.
Hailey Windham
Hailey Windham
34:55
What’s not to love?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
34:57
Well, I mean, what’s not to love?
Hailey Windham
Hailey Windham
35:03
And so it made it easier, in my opinion, like for us to go, hey, why can’t we work together? Why can’t fraud and compliance actually, you know, try to solve these problems together?
Hailey Windham
Hailey Windham
35:15
I mean, as I was writing up this outline, all I could think to was about the time that we created the corporate account takeover process. And we literally went to each department head and we were like, all right, what are you responsible for when this happens?
Hailey Windham
Hailey Windham
35:33
Like, we’ve got our red folders in branches when there’s an active robbery situation. Here’s what we do whenever there’s corporate account takeover.
Hailey Windham
Hailey Windham
35:43
And so do you think that because we had that friendship first that it made that bridge better? Or do you think that this is easy to replicate in other institutions?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
35:53
I think the answer is yes to both for me, to be honest.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
35:59
Because I think that our relationship did make it easier, right? But I also think that it is easy, because at the end of the day, both you and I went into that collaboration with the idea that this is easy, right?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
36:17
Collaboration can be easy. I think one of the biggest things that I’ve recognized from being at different institutions throughout my experience and my time is that collaboration is truly something that is top-down. It has to be pushed from the top down.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
36:41
And it doesn’t have a clear boundary of lines of just being fraud and compliance. Like, I know this conversation is primarily fraud and compliance, right?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
36:54
But when we’re talking about fraud, fraud touches every area of the institution. It touches accounting in a different way. It touches member services a different way. Like, it’s touching everywhere.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
37:11
And so how can we as an institution increase our collaboration, and instead of placing ownership, everyone has a seat at the table?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
37:28
Everyone should have a seat at the table. It’s just a matter of whose seat you’re sitting in and what you bring to the table individually.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
37:39
But there is no one person that should own it. It should be everyone’s ownership. We all own it. We all own the experience that the member receives.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
37:52
And so that’s my two cents about that.
Hailey Windham
Hailey Windham
37:53
I love that. I love that you didn’t just call out that we all own the fraud that happens. You know, we are all responsible for if we see it, we need to make sure that we call it out, or if there’s unusual activity, we need to call it out.
Hailey Windham
Hailey Windham
38:12
You know, I loved whenever we collaborated on the fraud policy, even to have that kind of language in there.
Hailey Windham
Hailey Windham
38:20
But then it’s also we own the member experience, the customer experience. And I think that that’s a vital point of what, especially for community banks and credit unions, like that is literally who you are. That is why you operate.
Hailey Windham
Hailey Windham
38:39
It is for that community feel.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
38:41
Yeah.
Hailey Windham
Hailey Windham
38:42
I deal with a local community institution that, man, I wish the online banking stuff was different. Okay. I want to be able to transfer payments very easily, and it’s just not there.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
38:51
Yes.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
38:54
Yes.
Hailey Windham
Hailey Windham
38:55
And that’s okay because I want to be able to call and talk to an actual person that knows my name. That whenever I say, hey, I need to get this done, they know me. They can get it done. They can send an email. We, you know, dual control, whatever.
Hailey Windham
Hailey Windham
39:13
But that’s something that I will deal with so that I can have that community feel.
Hailey Windham
Hailey Windham
39:19
And so we can’t lose that piece of who we are in these community institutions.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
39:13
Ha ha ha.
Hailey Windham
Hailey Windham
39:28
So I’m not going to derail us and talk about, you know, why we love community banks and credit unions.
Hailey Windham
Hailey Windham
39:16
But I think that you are a great example of showing what it could look like and how it works.
Hailey Windham
Hailey Windham
39:28
So, you know, from your perspective, what does it look like when fraud and compliance are functioning well together? What does that structure look like inside an institution that’s doing it right?
Hailey Windham
Hailey Windham
39:42
Because when you and I were together, right, we had a very short time frame to see the magic, right?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
39:44
Yep. Yep.
Hailey Windham
Hailey Windham
39:47
And then, you know, you got a different opportunity. I got a different opportunity. And so, you know, the friendship stayed, but we were no longer at the same institution.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
39:53
Right.
Hailey Windham
Hailey Windham
39:59
But now you’ve been able to really do it at another organization. So I just like to know, you know, what does that look like?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
40:01
Yeah, no, this is one of my most favorite topics to talk about, truly. So if I go on a rant here, I’m very sorry for everyone listening.
Hailey Windham
Hailey Windham
40:09
Go ahead. Go ahead.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
40:13
So first thing, right? Because a lot of people tend to think that collaboration means one thing, and they think meetings. More meetings. And it’s not. I promise you. That’s not it.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
40:29
Right? We already all have overbooked calendars. More meetings is not the answer. We already know that.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
40:38
But what it actually looks like is shared infrastructure. So I actually have four things for us.
Hailey Windham
Hailey Windham
40:43
Only four?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
40:44
Only four. Only four. I know. I know. You’re so proud of me, right?
Hailey Windham
Hailey Windham
40:47
I am. I am.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
40:51
So first would have to be shared visibility. So fraud and BSA see the same case data.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
40:57
Right? So when a Zelle account takeover comes in, the BSA officer is going to be looking up the typology, the dollar amount, and the underlying behavior at the same time that the fraud team sees it.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
41:12
Same data. Same view. Shared visibility across the board. None of this handoff business, right? Same time. Same visibility.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
41:24
Shared language is our second one. We have the same terminology for typologies, the same severity scales, the same case categories.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
41:35
Because if fraud calls something a scam-induced transfer and BSA is calling it a consumer-initiated wire abuse, you have two reports describing the same exact event, and nobody knows what’s actually happening. Okay?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
41:52
Same language.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
41:55
Third, defined escalation paths. So everyone knows when a case gets escalated, who it goes to, what triggers a SAR review, what triggers member outreach, what triggers a board notification.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
42:13
As you can say, I say the word trigger a lot. Know your triggers. What triggers what? And have a defined escalation path for that. Document it and practice it. Enforce the practice of it.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
42:32
And then the fourth one is joint ownership of typology evolution. So when a new scam pattern emerges, fraud and compliance evaluate it together, not separately. Okay? Because the response usually involves both lanes anyway. Right?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
42:54
So as you can see, collaboration is at the forefront of our four items.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
43:00
So again, just to reiterate, we have shared visibility, shared language, defined escalation paths, and joint ownership of typology evolution.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
43:12
So the best version of this is when fraud and compliance share a periodic review. I would say quarterly works best, where you’re looking at trend data together, agreeing on what’s getting worse, and making joint recommendations to leadership.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
43:22
That’s what good looks like. And it’s even achievable at smaller institutions. It just has to be built with intention because your org chart cannot do it alone.
Hailey Windham
Hailey Windham
43:31
I love that framing. And again, I think it goes back to, you know, what we saw together and in creating that one thing.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
43:37
Mm-hmm.
Hailey Windham
Hailey Windham
43:40
It’s, you know, creating those workflows, even partnering with continuous improvement to say, hey, can you make me a map of a flow map? Because I don’t, I mean, we need help. And so, yeah.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
43:46
Right. Right.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
43:50
We are compliance. We are not. Yeah, yeah. Yeah.
Hailey Windham
Hailey Windham
43:54
We are not graphic designers, even though that’s not what it technically is, but it felt like it. Okay.
Hailey Windham
Hailey Windham
44:00
Put me in Canva. Don’t put me on a blank whatever where you want me to draw the squares and the no, I can’t. I cannot do that.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
44:03
Yep. No. You will not find me there. Nope. Nope.
Hailey Windham
Hailey Windham
44:14
But it works, right? Because you have to have, like, obviously you have your documented, like this is how we documented triggers. This is what we do when this happens.
Hailey Windham
Hailey Windham
44:25
But also being able to see that, you know, again, it’s those practical takeaways.
Hailey Windham
Hailey Windham
44:26
So I want to encourage that if you don’t have the process mapped out in a visual aid, do that. It really does help, and it helps to articulate it to the C-suite executives that don’t understand all the necessary, you know, tiny pieces that are a part of a process.
Hailey Windham
Hailey Windham
44:46
But by you having it mapped out and they can see it visually, it makes more sense.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
44:49
Yep, and it also helps your team too. Like the visual representation of what the decision path actually looks like, it helps your team, and it helps reinforce the behavior of which you’re trying to implement too.
Hailey Windham
Hailey Windham
45:05
I love that.
Hailey Windham
Hailey Windham
45:08
So we’re going to continue on making this actionable because a lot of listeners are at community banks and credit unions, and, you know, maybe they’re not the ones that are writing the policy, but they’re the ones that have to operationalize it.
Hailey Windham
Hailey Windham
45:22
So what should they actually be thinking about right now?
Hailey Windham
Hailey Windham
45:26
So I want to go through some questions, and I want your honest take on each one.
Hailey Windham
Hailey Windham
45:32
The first is AI governance. You know, in your opinion, do most institutions, especially the smaller ones, actually have a defined AI governance framework right now, or are they using AI tools and kind of hoping for the best?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
45:41
Honestly, most smaller institutions don’t have a defined AI governance framework. They’re using AI tools that mostly come embedded in their fraud or their BSA platform, and the governance didn’t come with it.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
45:58
The tool got adopted. The policy, the model risk management process, the validation cadence, the human-in-the-loop documentation, those didn’t follow.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
46:13
And I do want to be fair here. It’s not that teams are being careless, right? It’s that the AI got built into the tools that they were already using. So it didn’t feel like an adoption decision. It felt like a software update.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
46:30
But from an examiner’s perspective, it’s not just a software update. It’s a decisioning system that needs a governance framework around it.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
46:43
So my advice is to ask your core vendors and your fraud platforms exactly where AI is in the decision chain. How was it validated? And how are you going to be notified when the model changes? Because you can’t govern what you can’t see.
Hailey Windham
Hailey Windham
46:57
Very true. Very true.
Hailey Windham
Hailey Windham
47:02
Okay, so then the next piece is on third-party risk. Do most institutions have a clear picture of every vendor and fintech relationship that’s introducing fraud exposure into their environment, or are there blind spots?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
47:14
Hmm, not as clear as they should be. The direct vendor list is usually solid, but where the blind spots live is the indirect exposure.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
47:27
So your fourth-party risk, your subprocessors, your API integrations, fintech partners that plug into a partner you already onboarded. The further you get from the contract, the less visibility you have.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
47:43
And that’s exactly where fraud exposure tends to hide.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
47:48
And obviously, to be transparent, this is hard. This is really hard, even when you have a mature program in place.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
47:59
So mapping every relationship that touches member data or movement of funds takes genuine, real effort. But if you can’t draw the map, and I know we’re not graphic designers, but if you can’t draw that map, you can’t manage the risk on it.
Hailey Windham
Hailey Windham
48:09
Makes sense.
Hailey Windham
Hailey Windham
48:13
Okay, real-time fraud operations. If a scam is happening right now, does the average community bank or credit union have the staffing, the tools, and the escalation path to interrupt it, or are they still operating on batch-cycle thinking?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
48:27
In a lot of cases, no. And it’s not because the teams aren’t capable. It’s because the operating model is, like you said, still built on batch-cycle thinking.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
48:41
Alerts get reviewed on a queue. Escalations go by email. The member service team isn’t connected to the fraud team in real time. So by the time we know, the money’s gonzos, right?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
48:58
So closing that gap takes usually about three things, right?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
49:06
So real-time alerting, which we’re all talking about in the industry right now, a defined interruption protocol that everyone on the front line knows, not just the fraud team, and a fraud function structured to respond inside of the recovery window, not after it.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
49:24
That’s an investment. But the alternative is paying for the losses on the back end. And those numbers do add up fast, as we all know.
Hailey Windham
Hailey Windham
49:24
Yeah, too fast sometimes.
Hailey Windham
Hailey Windham
49:31
Okay, this last question for this section, I channeled my inner Nyla.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
49:35
Ooh, love that.
Hailey Windham
Hailey Windham
49:39
Yeah, yeah. So are institutions measuring operational readiness, or are they just only measuring, you know, losses after the fact?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
49:48
I would say mostly the latter. And this is the metric problem, in quotations, that I want every fraud leader to actually push on.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
50:02
Losses are what I like to call a lagging indicator, right? But by the time you’re reporting on losses, the damage is already done. The board is reacting. The member is upset. The regulator is asking questions.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
50:21
Operational readiness metrics are leading indicators, right? So they’re time to detect, time to interrupt, recovery rate, member outreach completion rate, typology coverage in your monitoring rules, percentage of staff trained on scam scripts in the last quarter.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
50:43
Those tell you whether you’re getting better before the losses show up.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
50:50
And if you’re only measuring losses, you don’t really have a fraud program. You have a fraud accounting function. I say that lightly. With love. With love.
Hailey Windham
Hailey Windham
50:59
Ooh. Mic drop. I’m not saying it with love. I’m saying it. Listen here.
Hailey Windham
Hailey Windham
51:07
I mean, if you only know you have a problem when losses show up on a report, then you are already behind. Here’s your sign.
Hailey Windham
Hailey Windham
51:16
Operational readiness means you understand your fraud posture before that incident. You know your gaps. You know your vulnerabilities. You know those escalation paths, just like you were talking about.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
51:15
Yep. Yep.
Hailey Windham
Hailey Windham
51:30
And I think this ties back to, again, benchmarking, because benchmarking tells you where you actually are and not where you think you are.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
51:33
Yep. That’s right.
Hailey Windham
Hailey Windham
51:41
So for an institution that’s listening right now and recognizing some of these gaps, where would you tell them to start? Like, what’s the first thing?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
51:44
Hmm, three steps. Ready?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
51:50
Step one. Inventory your current state. What fraud typologies are you actually seeing? What’s your loss trend by channel? What’s your detection-to-interruption time? What AI tools are in production, and who actually governs them? What fintech relationships touch member data or movement of funds?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
52:14
You truly, truly, truly cannot modernize what you haven’t measured. Okay? That’s where I would start. Inventorying your current state.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
52:26
Then, going into step two, I would identify the top two or three gaps and prioritize them. Not all of them. Like, we all know. We all know we have a lot of gaps, right? But your top two or three.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
52:42
Because most institutions, they will try to fix everything at once. But what ends up happening is not finishing anything. That’s too much.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
52:54
So pick the gaps that have your highest fraud exposure and work those first. Okay?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
53:02
Step three, build the fraud and compliance bridge. I feel like we are reiterating this through this entire episode, right? Building that bridge. Collaboration.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
53:15
Make sure you’re doing those joint quarterly reviews. We’re sharing typology tracking, and we have agreed-upon escalation paths.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
53:27
This is truly, truly a foundation that makes everything else stronger, because once fraud and compliance are aligned, every other initiative gets easier. You would be amazed. You would be amazed.
Hailey Windham
Hailey Windham
53:28
Yeah.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
53:45
But that’s the work, right? It’s not glamorous. It’s not the AI conversation that’s getting all the headlines, but it’s what actually is moving the needle inside institutions right now.
Hailey Windham
Hailey Windham
53:50
Bridge the gap. Bridge the gap.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
53:52
Bridge the cannon. Who is that? Who is that?
Hailey Windham
Hailey Windham
53:57
It’s your conscience. Bridge the gap.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
54:03
Wow, my conscience is so smart.
Hailey Windham
Hailey Windham
54:05
I didn’t know my conscience had all that going on.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
54:09
Should listen to her more often.
Hailey Windham
Hailey Windham
54:12
I also want to say, though, all the things that you were just describing also goes back to another point that you and I have made before as well, which is the fraud risk assessment, right?
Hailey Windham
Hailey Windham
54:25
Like if you can do that, if you have one, use that as your starting point to say, hey, here are those gaps. So we need to prioritize. Here’s what’s missing. Here are our current vendors. Here are the functions. Blah, blah, blah.
Hailey Windham
Hailey Windham
54:40
And so if you haven’t done that, and you haven’t done these three steps that Nyla said, you know, this is your sign to do those things because it is such a practical starting point.
Hailey Windham
Hailey Windham
54:54
It is one that is easy to do. It doesn’t require any additional, you know, monetary resources. It’s just you understanding, documenting, and making sure that you inventory again that current state.
Hailey Windham
Hailey Windham
55:09
I love that you said that. And I think that’s what people need to hear, right? It’s not overhaul everything immediately. Stop it. Overhaul. Do this now.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
55:13
Mm.
Hailey Windham
Hailey Windham
55:22
But it’s here’s the first conversation to have. Here’s the first question to ask. You know, because modernization is not a single event. It’s not going to happen overnight. Like you said, it’s a direction.
Hailey Windham
Hailey Windham
55:38
And you can move in that direction intentionally, or you can get pulled by it reactively. The institutions that are going to navigate this environment well are the ones who are moving intentionally.
Hailey Windham
Hailey Windham
55:53
So I think that we are at a good point. I think we’ve kind of circled this enough. But I want to ask, you know, if you have any closing thoughts, it’s time to bring this episode home.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
55:58
So.
Hailey Windham
Hailey Windham
55:59
And I’ll sorry. I’ll fix this.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
56:02
No, that’s okay. I was truly just going to say, I think what I really want to talk about is what really gives me hope in this environment, right?
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
56:13
Like, honestly, the people. Like, the fraud fighters who are showing up every day doing this work inside resource-constrained environments and still pushing their institutions to be better. It makes my fraud heart happy, truly.
Hailey Windham
Hailey Windham
56:29
Gives me chills. Gives me chill bumps.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
56:31
Right? It truly makes me the most hopeful.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
56:37
And I’m also hopeful about the conversations like this one that are happening more openly. Five years ago, we didn’t really talk about fraud the way we talk about it now. I mean, you and I can attest to that. Five years ago, we were working together.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
56:53
Like, we didn’t talk about scam victims with empathy that we do now. Not me and you, but, you know, in general.
Hailey Windham
Hailey Windham
56:57
Out loud in the network, in the industry.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
56:59
In the industry, nobody really talked about it, right? We didn’t have podcasts dedicated to this work, and now we do.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
57:09
The fact that we’re naming the hard things and sitting in the tension out loud is in itself progress.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
57:19
And I think the executive order conversation, just to kind of full circle this, right, despite my open questions about it currently, is creating space for fraud and compliance teams to be in the modernization conversation much earlier.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
57:36
That’s a win if institutions take advantage of it.
Hailey Windham
Hailey Windham
57:34
So true. Nyla, thank you again for agreeing to come on the podcast to dive deep into this conversation.
Hailey Windham
Hailey Windham
57:43
I think our industry needs to hear more conversations like this. It’s, you know, not the version where we all agree that innovation is great and fraud is bad and everyone goes home feeling fine, right?
Hailey Windham
Hailey Windham
57:56
It’s the version where we actually sit in the tension. You can cut the tension with a knife. Where we, you know, name those hard things like you mentioned and talk about what it’s really like inside the institutions that are trying to navigate this in real time.
Hailey Windham
Hailey Windham
58:16
So thank you.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
58:10
Yeah, of course. You know, and I’ll leave it right here for you.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
58:18
None of us know exactly what the next twelve months are going to look like. The regulators haven’t responded yet. The rules haven’t been written. The fintechs are moving, right? They’re all moving at light speed. So are the scams. They’re evolving like crazy.
Hailey Windham
Hailey Windham
58:27
Mm-hmm.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
58:37
We don’t get to control any of that, though. But what we do get to control is whether our institution is ready.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
58:46
And to all the fraud fighters listening out there, the ones working late, holding the line on cases nobody really sees, making the hard call when the answer isn’t in the policy, what you do matters.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
59:02
Members don’t always know your name, but they feel it when you do this work well. So keep going. The industry truly needs you.
Hailey Windham
Hailey Windham
59:00
So true. So true.
Hailey Windham
Hailey Windham
59:04
And then you had your parting thoughts. I’ll have mine. It’s my podcast. So sorry, my turn.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
59:07
You’re right. So sorry.
Hailey Windham
Hailey Windham
59:15
The last thing I’ll say on this, at least for today, you know, I feel sure it’ll be another conversation soon. Innovation and reduced risk are not the same thing.
Hailey Windham
Hailey Windham
59:25
They can coexist, but they don’t automatically come together. And the institutions that are going to get this right are the ones who refuse to treat modernization as a fraud team problem to solve after the fact.
Hailey Windham
Hailey Windham
59:40
You know, bring fraud teams to the table early. I’m going to say that one more time. Bring fraud teams to the table early.
Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortes
59:43
Bridge the gap. Bridge the gap.
Hailey Windham
Hailey Windham
59:50
Build the gap. Bridge the gap. Build governance infrastructure before you accelerate. You know, understand your current state before you try to move faster.
Hailey Windham
Hailey Windham
60:02
And stop operating like fraud and compliance are two separate conversations because they are one now.
Hailey Windham
Hailey Windham
60:10
The industry is changing fast. Fraud pressure is scaling alongside every single one of those changes. And the fraud fighters who are paying attention, who are asking the hard questions, who are building the operational maturity to back up that innovation, those are the people who are going to protect their institutions and their customers through this.
Hailey Windham
Hailey Windham
60:34
So fraud fighters, stay vigilant, stay informed, and keep moving fraud forward.
Host
Hailey Windham
Hailey Windham
Fraud Forward, Sardine

Guests

Smiling woman with long blonde hair wearing a black suit, sitting in a chair.
Nyla Cortés