---
title: Organizational Convergence for Fraud: New Benchmarks and What Actually Works 
source_page: https://www.sardine.ai/media/fraudology/episodes/organizational-convergence-for-fraud
canonical: https://www.sardine.ai/media/fraudology/episodes/organizational-convergence-for-fraud
format: text/markdown
date: 2026-08-13T04:01:00.000Z
description: New data on organizational convergence for fraud tests whether fraud and cybersecurity teams that work together actually outperform those that don't…
---

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# Organizational Convergence for Fraud: New Benchmarks and What Actually Works 

**Published:** 2026-08-13T04:01:00.000Z

New data on organizational convergence for fraud tests whether fraud and cybersecurity teams that work together actually outperform those that don't…

Welcome back to Fraudology.
Today's a solo episode built around a study that puts a real number on something fraud leaders have been debating for years: does organizational convergence for fraud actually move the needle on performance, or is it just an org chart trend?
For years, we've all benchmarked ourselves the same way. Approval rate here, chargeback rate there, maybe a manual review rate if we're being thorough. But the problem I've seen play out in company after company is this: optimize your approval rate, and your chargeback rate quietly creeps up. Optimize your chargeback rate by blocking more, and your approval rate takes the hit. You're never seeing the whole picture, just one lever moving at the expense of the other.
The Precise Yes metric is the headline finding from a new Liminal and Accertify study, but the study itself is much bigger than one metric. It surveyed 250 senior fraud, security, and risk leaders across five industry verticals specifically to test the thesis of organizational convergence for fraud and cybersecurity. I walk through what the data says, what forms of convergence actually improve fraud performance, and which ones don't move the needle at all.
This is a data-heavy episode, and I mean that as a compliment to the study. If you've ever needed a fraud KPI for CFO reporting that actually captures the full tradeoff between approvals and fraud loss, this is the one to bring back to your team.
What you'll hear in this episode:
How the Precise Yes metric is calculated, and why approval rate vs chargeback rate alone can hide the real story of your fraud program
Why organizational convergence for fraud and cybersecurity is being driven by operational necessity, not executive mandates, and what that means for how teams are actually changing
Why login has become the new fraud control point, with account takeover, credential stuffing, and bot attacks all converging at that stage
Why 63.6% of organizations still cannot distinguish a cyber attack from a fraud attack in real time, and what that costs them operationally
How CISO fraud ownership is showing up earlier in the vendor decision process, and why board level fraud reporting is becoming a real governance topic
Why partial integration is the highest-performing model for organizational convergence for fraud, and why pushing to full structural integration can actually erode the domain expertise that makes teams effective
Why sharing just two or more use cases between fraud and cyber teams is the real performance tipping point, delivering a 1.5x improvement in fraud performance scores
Why separate budgets between fraud and cyber teams actually outperform unified ones, contradicting one of the most common assumptions about convergence
How fraud metrics by industry vertical vary, including why ecommerce and retail lead the pack while marketplaces lag significantly behind
What the study found on agentic commerce fraud controls and synthetic identity fraud in ecommerce specifically
Who should listen:
Fraud leaders looking for a fraud KPI for CFO reporting that captures the real tradeoff between approvals and fraud loss.
Anyone building a business case for fraud and cybersecurity convergence and needing real data to support it.
CISOs and security leaders increasingly involved in fraud tool evaluation and vendor decisions.
Fraud teams trying to figure out where to start with shared fraud and cyber use cases without a full reorg.
Ecommerce and marketplace fraud professionals wanting an ecommerce fraud benchmarking study to compare their own performance against.
Anyone responsible for board level fraud reporting or making the case for fraud visibility at the executive level.
### Episode notes
Why organizational convergence for fraud matters and how it's being measured
Fraud and cybersecurity have long operated as separate disciplines with separate budgets, tools, and reporting lines. But as attackers increasingly blend tactics across both domains, the question became whether organizations that converge their defenses actually achieve better outcomes. This study tests that thesis directly, using a new composite fraud metric called the Precise Yes score to quantify performance differences between organizations at every stage of convergence.
The Precise Yes metric, and why it exists
The actual math behind the Precise Yes metric: take your approved dollar volume percentage, divide it by your fraud chargeback rate percentage. It's a composite fraud metric designed to solve a problem every fraud leader has run into, optimizing approval rate or chargeback rate independently almost always makes the other one worse. The Precise Yes metric gives you one number that tells you whether you’re actually winning on both fronts, not just trading one problem for another.
Login as the new frontline
This is something I've been saying on this podcast for years, and it was satisfying to see the data back it up. We used to just take a snapshot at checkout. The study found that account takeover, credential stuffing, and bot attacks are all converging at login, making it the most contested control point in fraud prevention today. The shift toward upstream fraud detection and the checkout-only mindset most fraud programs were originally built around can all be connected to this. Login sits right at the line between fraud and cybersecurity. Credential stuffing is a cyber problem. The account takeover it enables is a fraud problem. If your teams aren’t sharing signals at that stage, you’re only seeing half the attack.
Why most organizations can't tell fraud from cyber in real time
This one stopped me. 63.6% of respondents said they can't tell, in the moment, whether they're looking at a cyber attack or a fraud attack. Think about what that means. If you can't classify it in real time, you can't route it to the right team or apply the right playbook. You're doing forensics after the fact instead of prevention.
Who owns fraud now
CISOs are showing up earlier in fraud decisions, involved in tool evaluation at nearly three-quarters of companies surveyed, not just brought in at the end. And board level fraud reporting is becoming real. Companies bringing fraud to the board regularly score almost twice as high on the Precise Yes metric as those keeping it at the executive level alone.
What actually drives convergence performance
Here's where I think a lot of us have had the wrong instinct. The study tested team structure, shared use cases, data integration, and board governance, and the finding that stuck with me is that fully merging fraud and cybersecurity into one team does not perform best. Partial integration does. Push to full structural integration, and you erode the domain expertise that made things work in the first place.
How performance varies by vertical
Precise Yes scores differ a lot by vertical, with ecommerce and retail leading and marketplaces coming in last. My hypothesis is maturity. Ecommerce and retail have dealt with fraud for thirty years. Marketplaces have really only existed since around 2010, and that gap shows up directly in the numbers.
### Key takeaways
Organizational convergence for fraud produces measurably better performance outcomes when it is operational, not just structural
The Precise Yes metric is a composite fraud metric that captures both approval performance and fraud control in a single number
Login has replaced checkout as the primary fraud control point, driven by account takeover and bot activity converging there
63.6% of organizations cannot distinguish a cyber attack from a fraud attack in real time, which delays effective response
CISO fraud ownership and board level fraud reporting are both increasing and both tied to measurably better fraud performance scores
Partial integration between fraud and cyber teams outperforms full structural integration, which can erode domain expertise
Sharing just two or more shared fraud and cyber use cases is the real performance tipping point for organizational convergence
Separate budgets between fraud and cyber teams actually outperform unified budgets, contradicting a common assumption about convergence
Fraud metrics by industry vertical vary significantly, with marketplaces lagging behind more mature ecommerce and retail programs
Agentic commerce fraud controls and synthetic identity fraud in ecommerce are both growing concerns the study addresses directly
Intent to converge does not improve performance. Actual operational execution is what moves the Precise Yes score
### Final takeaway
The Precise Yes metric gives fraud leaders one number that honestly reflects the tradeoff between approving good customers and blocking bad actors. But the bigger lesson from this study is that organizational convergence for fraud is not about org charts or budget unification. It is about sharing the right signals, working on the right use cases together, and giving your board the visibility they need to hold the right people accountable. The data shows you can get most of the benefit of full convergence by starting with just two shared use cases between your fraud and cybersecurity teams. That is a concrete, actionable starting point that does not require a reorg to deliver real results.
Episode resources & links
Connect with Karisse Hendrick | LinkedIn
Host of the Fraudology Podcast
Award-Winning Cyberfraud Expert
Ecommerce Fraud Prevention Consultant
Startup Advisor, Keynote Speaker, and
Consultant to Fortune 500 merchants