Today I want to talk about the scamdemic and what it looks like when fraud fighters across banking, fintech, crypto, and ecommerce all get in the same room and compare notes on what is actually happening.
Because once you do that, a few things become very clear.
The scam problem is bigger than any one channel.
It is bigger than any one company.
And it is moving a lot faster than most organizations are built to handle.
In this episode of Fraudology, I share an inside look at SardineCon, the first annual user conference for Sardine, where more than 200 attendees came together to talk through the growing scam crisis.
We covered a lot of ground. Pig butchering scam prevention, phone theft fraud, behavior biometrics for scam detection, remote desktop fraud signals, and the kinds of AI-enabled scam tactics that are making trust and safety much harder across the board.
And this matters.
Because the scamdemic is not just a catchy label. It describes a very real financial scam crisis affecting fraud teams, investigators, trust and safety teams, and the customers caught in the middle.
When you start hearing the same patterns showing up across different industries, that is usually the signal worth paying attention to.
Here is what that fraud lens means in practice:
- I explain why the scamdemic cuts across banking, fintech, crypto, ecommerce, and trust and safety teams
- Pig butchering scam prevention, phone theft fraud, and remote access scam detection are connected parts of the same trust problem
- Behavior biometrics for scam detection can help teams identify risk before money moves
- Fraud fighter collaboration matters because scam tactics spread faster than siloed teams can react
What you’ll hear in this episode:
- Why the scamdemic is becoming one of the defining fraud challenges across industries
- What Erin West shared about pig butchering scam prevention and the repeatable playbooks behind scam operations
- How Dr. Nicola Harding explained phone theft fraud and account draining after phone theft
- Why behavior biometrics for scam detection and remote desktop fraud signals matter before transactions happen
- What fraud teams can learn from AI-enabled scam tactics, user-generated content scam abuse, and anti-scam community insights
You should listen to this episode if you:
- Work in fraud, trust and safety, banking, fintech, crypto, or ecommerce and need to understand the scamdemic
- Want practical insight into pig butchering scam prevention, stopping scam-induced payments, and detecting scams in real time
- Need to understand phone theft fraud, remote access scam detection, and behavioral risk signals before transactions
- Care about fraud fighter collaboration and anti-scam strategies for risk teams
- Want clearer perspective on emerging scam trends 2025 and protecting users from modern scams
If you liked this episode, be sure to subscribe and review the podcast on iTunes, Spotify, YouTube, or wherever you listen to podcasts. It really helps with getting the word out.
Episode notes & key takeaways
The scamdemic is bigger than any one fraud team can solve alone
Let me break this down.
One of the clearest themes from SardineCon is that the scamdemic is not contained to one product, one institution, or one type of victim.
It is showing up everywhere.
Banking.
Fintech.
Crypto.
Ecommerce.
Trust and safety.
Different surfaces, same underlying problem.
That is what made this event so valuable. More than 200 attendees came together to compare what they were seeing, and once those patterns started lining up, the bigger picture became a lot harder to ignore.
Scam prevention for banks and fintechs is not just about blocking isolated bad transactions. It is about understanding how scam pressure builds upstream, how trust is manipulated, and how victims get pushed toward payments that feel voluntary until you look more closely.
This is why fraud conference takeaways like these matter. They help teams stop thinking in narrow categories and start recognizing scam behavior as an ecosystem problem.
- The scamdemic affects multiple industries simultaneously
- Fraud fighter collaboration helps teams recognize patterns earlier
- Scam prevention for banks and fintechs requires visibility across channels
- Anti-scam community insights become more valuable when scams scale across ecosystems
Pig butchering scams still follow a playbook teams can study
One of the most powerful presentations at SardineCon came from Erin West on pig butchering scam prevention.
Even though these scams are draining billions from victims globally, they still follow a recognizable structure. That matters.
At first glance, pig butchering scams can feel overwhelming because of the emotional manipulation and long timelines involved. But when you break them down, the mechanics are often repeatable.
Relationship building.
Grooming.
Isolation.
Escalation.
Payment movement.
Once a scam has a repeatable playbook, fraud teams have something they can study, pressure test, and potentially disrupt.
The goal is not to pretend these scams are easy to stop. They are not. But patterns create opportunities for intervention.
- Pig butchering scam prevention improves when teams study the underlying playbook
- Stopping scam-induced payments requires recognizing manipulation before funds move
- Detecting scams in real time requires earlier signals than traditional payment review
- Anti-scam strategies for risk teams should focus on the repeatable structure of scam operations
Phone theft fraud is becoming a rapid account-draining event
Another standout moment came from Dr. Nicola Harding’s presentation on phone theft fraud.
And this is one of those risks that is very easy to underestimate until you see how quickly it unfolds.
Once a criminal steals a phone, they often gain access to apps, messages, authentication flows, and enough account context to begin draining funds immediately.
Account draining after phone theft is not a slow fraud scenario. It is frequently a rapid-response event.
That means device theft should not be treated as just a customer inconvenience. It is a fraud signal.
And one that intersects with scam prevention, account security, and transaction monitoring much more directly than many organizations currently treat it.
- Phone theft fraud can lead to rapid account draining after phone theft
- Stolen devices often expose payment apps and authentication paths
- Scam prevention programs need to include fast response to stolen-device events
- Protecting users from modern scams requires treating phone theft as a fraud event
Behavioral biometrics can surface scams before the transaction
Another important discussion came from Sardine CEO Supes Ranjan, who demonstrated behavior biometrics for scam detection.
One of the most interesting examples involved detecting remote desktop access during user logins.
Why does that matter?
Because behavioral risk signals before transactions may be the only early warning teams get before money moves.
If a user is logging in through a remote session, navigating differently than usual, or interacting with their device in ways that suggest outside control, those signals can indicate a scam already in progress.
Fraud teams do not always need to know the entire story immediately. But if they can identify remote desktop fraud signals early enough, they may be able to stop scam-induced payments before the loss happens.
- Behavior biometrics for scam detection helps surface risk earlier in the user journey
- Remote desktop fraud signals can indicate a user is being coached or controlled
- Behavioral risk signals before transactions may reveal scams before payments occur
- Remote access scam detection is becoming increasingly important
AI-enabled scams and content abuse are reshaping trust and safety
The conference also included insights from an executive at a major user-generated content platform discussing AI-enabled scam tactics and content abuse.
And this matters because scam activity is not limited to financial transactions anymore. It often begins in content environments.
Messaging systems.
Community platforms.
User-generated content feeds.
AI-enabled scam tactics make it easier to produce convincing messages, adapt scams faster, and scale deception across platforms.
That creates real challenges for trust and safety teams responsible for protecting users before the fraud reaches the payment stage.
Fraud and trust-and-safety teams increasingly need to work together. Because protecting users from modern scams requires understanding both the financial risk and the environment where the scam first appeared.
- AI-enabled scam tactics increase scale and speed across scam campaigns
- User-generated content scam abuse creates new platform integrity risks
- Trust and safety for scam prevention is now closely linked with fraud prevention
- Emerging scam trends in 2025 show content abuse and financial abuse often work together
The bigger theme in this episode is that the scamdemic is not slowing down, but fraud fighters learn faster when they learn together.
SardineCon brought together people across industries to compare signals, share playbooks, and stay grounded in a job that can get heavy at times.
The scam crisis is real.
But so is the value of community, shared pattern recognition, and practical detection strategies that help teams protect users before losses occur.
That is the part worth building on.
