What the F Happened? Fraud and Financial Crime, Deconstructed

Credit unions are facing a growing challenge in financial crime prevention: fraudsters are exploiting real-time payments, AI-powered attacks, and data gaps that leave smaller institutions vulnerable. As transactions move in milliseconds, traditional fraud detection can struggle to identify and stop sophisticated threats before the money is gone.

In this episode, you'll learn:

• Why credit unions and mid-sized financial institutions are becoming prime targets for fraudsters
• How consortium intelligence and unsupervised machine learning help identify emerging threats and sleeper accounts
• How conversational AI can strengthen fraud defenses without sacrificing a seamless member experience

Listen to discover how credit unions can leverage AI and real-time intelligence to fight increasingly sophisticated fraud while preserving the member experience they’re built around.

Hear the full conversation between Dr. Yinglian Xie and Sarah Snell Cooke.

In this podcast, we explore how Agentic AI is transforming fraud detection and AML operations, examining the regulatory changes, emerging AI-powered threats, and multi-agent architectures reshaping how financial institutions detect, investigate, and prevent financial crime.

This episode covers:

1. New Regulations for Real-Time Fraud Prevention: How the OCC and FDIC's updated Section 314(b) guidance and the proposed Stop Payments Fraud Act give financial institutions greater authority to share fraud intelligence in real time and temporarily hold suspicious transactions before funds are lost.
2. Why Static Fraud Detection Is No Longer Enough: How polymorphic, AI-generated fraud continuously changes its behavior to evade traditional rules, forcing institutions to adopt real-time, unsupervised machine learning capable of making decisions in under 100 milliseconds.
3. The Rise of Multi-Agent AI in Fraud & AML: How specialized AI agents are working together across detection, investigation, reporting, and compliance to automate complex workflows while keeping humans focused on governance, oversight, and orchestration rather than manual decision-making.

Get the full newsletter and links to all resources mentioned:

• Turn Insights into Action with AI
• Screen Before Money Moves
• DataVisor Earns Triple Recognition for AI-Powered Financial Crime Prevention
• Agentic AI & The Fraud Lifecycle: What Every Risk Leader Needs to Know

• [Webinar] From Intent to Execution: Transforming the Fraud & AML Lifecycle with Agentic AI
• The Polymorphic AI Fraud Playbook
• The Playbook to Stop Real-Time Crime
• Trust at Scale: Multi-Agent Orchestration for Fraud, Investigation, and Reporting

In this Webinar Highlights episode, we recap key takeaways from our recent session, From Intent to Execution: Transforming the Fraud & AML Lifecycle with Agentic AI, where we explore how financial institutions can operationalize AI to combat increasingly sophisticated fraud while maintaining governance, transparency, and human oversight.

You'll hear highlights on:

• Why AI-powered fraud is outpacing traditional defenses—and how Agentic AI helps financial institutions close the execution gap
• How analysts can use natural language to create, test, and deploy fraud rules in minutes instead of weeks
• Why unified data, governed AI workflows, and human-in-the-loop decision-making are essential for scaling AI across fraud and AML operations

Watch the full webinar and access related resources:

1. From Intent To Execution: Transforming The Fraud & AML Lifecycle With Agentic AI
2. Agentic AI & The Fraud Lifecycle: What Every Risk Leader Needs To Know

In this Analysis, we examine why fraud prevention systems built for human-scale threats are no longer sufficient in the age of AI-driven attacks, and how organizations can evolve their fraud stack to defend against machine-speed fraud without sacrificing customer experience.

This episode explores:

Why Legacy Fraud Stacks Are Falling Behind: How rule-based systems and traditional risk models were designed for human attackers, why they struggle against AI-powered fraud, and where the biggest gaps exist today.

The Rise of Machine-Speed Fraud: How generative AI and automation are enabling attackers to scale social engineering, account takeovers, and synthetic identity fraud faster than ever before and what that means for defenders.

Building the Next Generation of Fraud Defense: Why organizations need adaptive, AI-powered detection, real-time decisioning, and continuous learning to stay ahead of evolving threats while reducing friction for legitimate customers.

Read the full Forbes article and other resources: https://www.forbes.com/councils/forbestechcouncil/2026/07/15/your-fraud-stack-was-built-for-humans-now-what/

In this Monthly Brief, we break down the most important fraud and financial crime developments from July 2026, including emerging threats, notable enforcement actions, and trends financial institutions should be paying attention to.

This episode covers:

• The Death of Static Rules and the SEC's $7.5M Fine Against Merrill Lynch: How rigid risk thresholds create dangerous blind spots, and why regulators are now treating outmoded rules as a form of compliance negligence.
• The Historic Bank Secrecy Act Overhaul: A deep dive into the Federal Reserve and FinCEN’s massive regulatory shift demanding dynamic, real-time risk allocation and integrated Counter-Terrorism Financing (CFT) frameworks.
• AI vs. AI Warfare (Synthetic Identities & Agentic AI): How fraudsters are using generative AI to fabricate entirely new human identities to bypass KYC, and how institutions are fighting back with unsupervised machine learning and Agentic AI defenses.

Get the full newsletter and links to all resources mentioned:

1. Case Study - NASA Federal Credit Union Modernizes Fraud & AML with a Unified FRAML Platform

2. PR - NASA Federal Credit Union Awarded Celent Model Risk Manager with DataVisor’s AI-Native Real-Time Platform

3. E-Book - OSFI Compliance Readiness Assessment

4. E-Book - Case Management Assessment

5. Blog - OSFI 2026 Compliance: How Canadian Fraud and AML Teams Are Handling Dual-Regulator Scrutiny

6. Webinar - DEFEND WEBINAR | AI Tools Fraudsters Use - 2026 Edition

7. Webinar - DEFEND WEBINAR | From Intent to Execution: Transforming the Fraud & AML Lifecycle with Agentic AI

8. DEFEND Training

In this Analysis, we examine Forrester's Trend Report, Managing AI Agent Commerce Fraud, exploring how AI-powered shopping agents are reshaping digital commerce while creating a new generation of autonomous fraud risks. Drawing on Forrester's research and practical fraud prevention strategies, we unpack what financial institutions, merchants, and fraud teams need to know to prepare for AI-driven commerce.

This episode explores:

• Why AI agents are accelerating the shift from business-to-consumer to business-to-AI commerce

• How runaway malicious AI agents can execute high-speed, large-scale fraud that bypasses traditional detection methods

• Why Forrester recommends combining AI-powered fraud detection with business policies that disrupt fraud economics to build resilient defenses

Read the full report here: www.datavisor.com/intelligence-center/reports/forrester-report

Chapters:

0:03 Intro

2:32 Forrester Report

3:34 AI Agents in Commerce

6:11 Business-to-AI Commerce

6:59 AI Fraud at Scale

9:08 Microtransaction Fraud

11:43 Fighting AI Fraud

12:42 AI vs AI Detection

18:29 Key Takeaways

In this Analysis, we examine how Canadian financial institutions are navigating heightened regulatory scrutiny in 2026 as OSFI and FINTRAC demand both real-time fraud detection and fully explainable AI, drawing on regulatory guidance and practical insights from fraud and AML teams.

This episode explores:

• Why the “binder era” is over and regulators now expect live operational evidence instead of static documentation
• How OSFI’s AI governance requirements are reshaping model explainability, validation, and third-party risk management
• Why unified fraud and AML operations are becoming essential to meeting dual-regulator expectations while improving financial crime detection

Read the full analysis and the related resources:

• OSFI 2026 Compliance: How Canadian Fraud And AML Teams Are Handling Dual-Regulator Scrutiny
• OSFI Compliance Readiness Assessment

Chapters:

00:00 OSFI’s New Compliance Reality

02:40 The End of the Binder Era

06:07 OSFI vs. FINTRAC Demands

09:27 AI Explainability Rules

11:50 Why Black Box AI Fails

13:18 Managing Third-Party AI Risk

15:47 Breaking Down Data Silos

18:52 Is Your Bank Audit Ready?

20:44 Compliance by Design

NASA Federal Credit Union set out to solve a growing challenge in financial crime prevention: fraud and AML teams operating in separate systems. By partnering with DataVisor to build a unified FRAML platform, the credit union gained real-time visibility across fraud, money laundering, and account activity.

In this episode, you'll learn:

• Why fraud and AML silos create dangerous blind spots

• How AI, machine learning, and real-time intelligence improve detection

• The impact of a unified approach, including a 42% reduction in false positives and significant operational savings

Listen to discover how NASA FCU earned Celent's Model Risk Manager of the Year award and what it means for the future of financial crime prevention.

Read the Case Study here: https://www.datavisor.com/intelligence-center/case-studies/nasa-federal-credit-union-modernizes-fraud-aml-with-a-unified-framl-platform

Chapters:

00:00 Why NASA FCU Won Celent's Top Award

02:30 The Fraud & AML Silo Problem

05:22 Why Legacy AML Systems Fail

08:00 What Is FRAML?

10:52 Building a Real-Time Risk Engine

13:41 How AI Detects Unknown Threats

16:31 AI Agents Cut Manual Work

19:20 42% Fewer False Positives

21:52 The Future of AI-Powered Compliance

In this Webinar Highlights episode, we recap key takeaways from our recent session on the AI tools fraudsters are using in 2026 and how financial institutions can respond to the growing threat of AI-powered fraud. From autonomous voice scams and deepfake identities to search poisoning and synthetic KYC attacks, this discussion explores how generative AI is transforming the fraud landscape.

You’ll hear highlights on:

• How fraudsters are using AI to automate social engineering, voice scams, and identity fraud at scale

• The rise of AI-powered tools that can bypass traditional KYC and liveness detection controls

• Why behavioral intelligence and AI-driven fraud detection are becoming essential for financial institutions

• The concept of "fraud-as-a-service" and how the barrier to entry for cybercrime has dramatically decreased

• How organizations can combine AI and human expertise to detect fraud while reducing customer friction

Watch the full webinar: https://www.datavisor.com/intelligence-center/webinars/defend-webinar-ai-tools-fraudsters-use-2026-edition

Chapters:

00:00 AI Scammer Calls Your Bank

02:39 Why AI Fraud Is Exploding

05:52 AI Search Poisoning Explained

09:15 Voice Bots & Prompt Injection

12:31 Fake Receipts & Scam Websites

14:32 Beating KYC With AI

17:10 AI-Powered Romance Scams

18:45 How Banks Fight Back With AI

In this Case File, we break down how a leading online service marketplace addressed sophisticated fraud threats, including account takeover (ATO), mass fake account registration, and collusion fraud. 

Learn how TaskRabbit partnered with DataVisor to move from reactive fraud prevention to proactive network-based detection, protecting platform integrity, user trust, and millions of dollars in revenue.

You’ll learn:

• The fraud challenges TaskRabbit faced, from identity theft and fake account creation to organized collusion schemes

• How machine learning, device intelligence, and Knowledge Graph technology helped uncover hidden fraud networks in real time

• The measurable impact, including millions of dollars in fraud losses prevented, 25x faster fraud response times, and a 60x increase in fraud investigation efficiency

Read the full case study: https://www.datavisor.com/intelligence-center/case-studies/taskrabbit-ecommerce-fraud-prevention

Chapters:

00:00 Why Marketplace Trust Matters

01:10 The Three Fraud Threats

02:32 How Account Takeovers Work

03:13 The Bot Account Explosion

04:00 The Fraud Scheme Nobody Sees

05:45 TaskRabbit Fights Back

06:33 Catching Fraud with Devices

07:13 Exposing Hidden Fraud Rings

09:50 Millions Saved, 60x Efficiency

11:06 The Future of Fraud Detection