Case File - TaskRabbit: Uncovering Hidden Fraud Networks

Forbes Analysis - Your Fraud Stack Was Built For Humans: Now What?

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/ [https://www.forbes.com/councils/forbestechcouncil/2026/07/15/your-fraud-stack-was-built-for-humans-now-what/]

Monthly Brief - July: Fraud in the AI Era

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 [https://www.datavisor.com/intelligence-center/case-studies/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 [https://www.businesswire.com/news/home/20260630534570/en/NASA-Federal-Credit-Union-Awarded-Celent-Model-Risk-Manager-with-DataVisors-AI-Native-Real-Time-Platform] 3. E-Book - OSFI Compliance Readiness Assessment [https://www.datavisor.com/intelligence-center/ebooks/osfi-compliance-readiness-assessment] 4. E-Book - Case Management Assessment [https://www.datavisor.com/intelligence-center/ebooks/case-management-assessment] 5. Blog - OSFI 2026 Compliance: How Canadian Fraud and AML Teams Are Handling Dual-Regulator Scrutiny [https://www.datavisor.com/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 [https://www.datavisor.com/intelligence-center/webinars/defend-webinar-ai-tools-fraudsters-use-2026-edition] 7. Webinar - DEFEND WEBINAR | From Intent to Execution: Transforming the Fraud & AML Lifecycle with Agentic AI [https://www.datavisor.com/intelligence-center/webinars/defend-webinar-from-intent-to-execution-transforming-the-fraud-aml-lifecycle-with-agentic-ai] 8. DEFEND Training [https://www.datavisor.com/defend-training]

Forrester Trend Report - Managing AI Agent Commerce

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 [http://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

Analysis - OSFI 2026 Compliance

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 [https://www.datavisor.com/blog/osfi-2026-compliance-how-canadian-fraud-and-aml-teams-are-handling-dual-regulator-scrutiny] * OSFI Compliance Readiness Assessment [https://www.datavisor.com/intelligence-center/ebooks/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 wins the Celent Model Risk Manager of the Year Award

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 [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