Third-Party and Vendor Risk Investigations: When the Compliance Problem Is Outside the Perimeter
The investigation workflow changes fundamentally when the misconduct is at a vendor, supplier, or service provider rather than inside the institution. The evidentiary standard is the same; the access rights are not. This issue examines how institutions are structuring third-party risk investigations — and what the DOJ’s Corporate Enforcement Policy and DORA’s ICT third-party risk provisions have done to raise the stakes. Plus: the $1.55 billion in new enforcement actions against Bank of America and American Express that closed the past two weeks’ enforcement calendar.
Banks can gradually implement AI in financial crime compliance starting with assistive tools. This incremental approach improves data quality, enhances risk intelligence, and evolves AML programs effectively.
Regulators increasingly endorse a risk-based approach (RBA) to AML, allowing AI to supercharge efficiency and effectiveness. Agentic AI can automate high-volume tasks, freeing human investigators for higher-risk work. Success hinges on robust AI governance and clear mapping of AI use cases to risk drivers, demonstrating accountability.
Risk-adaptive account enablement uses AI to continuously assess risk, dynamically adjusting account privileges for ultra-wealthy clients. This approach secures assets by tailoring friction based on real-time behavior, ensuring advanced fraud protection without compromising user experience.
See it in action
Bring a real case. We’ll show you the workflow.
Share a real workflow, a sample file, or a current challenge and we’ll show you how RiskPulse works in practice.