This white paper explores how AI enhances digital risk management by mining disparate enterprise data for hidden vulnerabilities. It stresses the need to align AI with business-specific risk domains such as privacy, intellectual property, and cybersecurity. Effective deployment requires selecting complementary tools, involving governance, and leveraging vendor expertise for compliance and scalability. The paper outlines processes for triage, investigation, and anomaly resolution, supported by agile methods and analyst collaboration. It highlights the importance of ongoing governance, model optimization, and continuous monitoring to ensure auditability, reduce risk exposure, and achieve long-term resilience.

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