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Caught Between AMLA and the EU AI Act: How Banks Can Move Forward With High-Risk AI Key Takeaways The Regulatory Paradox: European banks face strict AMLA requirements demanding massive automation scaling, while the EU AI Act classifies many anti-financial crime AI applications as high-risk. Expired Operating Models: Explosive renewal volume growth (e.g., Customer Due Diligence […]
Solve These 4 Contextual Data Problems So Agentic AI Can Find More Financial Crime AML/KYC The financial crime market has officially entered the Agentic AI era. Last week, Anthropic and FIS announced a major partnership to bring Agentic AI into AML operations. Their new Financial Crimes AI Agent promises to compress investigations from hours to […]
Drafting SAR Narratives with Agentic AI Cutting Writing Time & Improving Quality im AML AML/KYC “For most AML operations teams, the Suspicious Activity Report (SAR) narrative remains one of the most stubbornly manual bottlenecks in the investigation lifecycle. Alerts may be generated automatically. Transaction monitoring may already be AI-assisted. Investigators may even have some advanced […]
The Hallucination Trap. Why Generative AI in Banking Requires a Persistent Context Layer Anti-Fraud “Banks are under pressure to adopt Generative AI quickly. Boardrooms want productivity gains, faster investigations, better customer service, and more efficient compliance operations. But Chief Data Officers, AI leaders, and risk teams are running into a more difficult problem: the Technical […]
CUSTOMER CASE STUDY Ally Bank Success Story Read the full Ally Bank success story. Read the Case Study
AMLD6: Comfort in Your AML Controls or 10% Turnover Fines? Key Takeaways Regulatory Shift: AMLD6 and the establishment of AMLA elevate compliance expectations from static policies to demonstrable, operational evidence. Non-compliance carries severe administrative fines of up to 10% of annual turnover. Unified Intelligence Layer: Closing structural blind spots does not require replacing core legacy […]
The $3 Billion Blind Spot: Why Static Risk Ratings are a Liability in 2026 Anti-Fraud The chasm between criminal speed and bank defense is no longer a gap; it’s a liability. While bad actors use automated networks to move illicit funds in milliseconds, the average bank is still tethered to a static, 365-day review cycle. […]
Discover how financial institutions can overcome data silos and high false positives in BSA compliance. Learn how a unified decision intelligence platform enables proactive network analysis to effectively disrupt complex financial crime.
Leveraging DataWalk to Investigate Money-Laundering Risk in Correspondent Banking AML/KYC Correspondent banking relationships allow banks to serve customers in foreign markets without maintaining a local branch. While this cross-border infrastructure is essential for global commerce, it also creates fertile ground for money-laundering (ML) and terrorist financing (TF). Criminals exploit the reliance of one bank (the […]
From Data Silos to Data Insight: How to Uncover Internal Fraud Rings Before They Strike Anti-Fraud The Potential Multi-Million Dollar Blind Spot in Your Bank’s Defenses In Florida, an $8.8 million fraud ring (1) was only discovered after a bank fraud investigator noticed a single suspicious transaction. The scheme’s origin was not an external hacker, […]
