AI-Enabled Financial Crime: Audit and Oversight
Fight AI With AI
Confidence for examiners. Clarity for the board. Protection on both fronts.
AI-Enabled Threats We Evaluate
Financial crime has a new capability set. Deepfake voice calls are passing authentication checks. AI-generated synthetic identities are opening accounts, qualifying for credit, and staying undetected long enough to cause real losses. Phishing attacks indistinguishable from legitimate institutional communications are arriving at scale.
Most community financial institutions are facing this threat environment with fraud controls designed for a different era. AuditOne provides independent audit and oversight services for both sides: the control environment your institution has against AI-enabled threats, and the AI-assisted programs your institution uses to detect and prevent financial crime.
Synthetic Identity Fraud
AI can generate synthetic identities at scale, fabricated names, addresses, SSNs, and supporting documentation, that pass conventional identity verification checks. We evaluate account opening controls, identity verification programs, and detection capabilities against current synthetic identity methodologies and loss patterns.
Deepfake and Voice Cloning
AI voice cloning can replicate a customer’s voice from seconds of audio available in a social media post or voicemail. We assess authentication protocols, verbal authorization procedures, employee training, and override controls against this specific threat vector.
AI-Generated Phishing and Business Email Compromise
AI-generated communications are personalized, grammatically correct, and indistinguishable from legitimate communications. We evaluate employee training, technical controls, and incident response capabilities against current AI-enhanced social engineering tactics.
AI-Enhanced Money Laundering
Sophisticated actors are using AI to analyze transaction monitoring systems, identify detection gaps, and route funds along paths designed to avoid alerts. We evaluate AML program effectiveness against AI-enhanced structuring, layering, and placement techniques.
Authorized Push Payment (APP) Fraud
AI enables fraudsters to research targets, craft individualized pretexts, and execute push payment schemes at a speed and precision that manual review cannot match. We evaluate fraud program coverage of APP scenarios and customer protection controls.
AI-Assisted Account Takeover
Credential stuffing, AI-generated password combinations, and behavioral mimicry attacks are increasing in volume and in their ability to evade detection controls. We evaluate authentication controls, anomaly detection, and account takeover response procedures.
AI-Assisted Programs We Audit
Many financial institutions are already using AI for fraud detection, transaction monitoring, and customer authentication. These programs require the same independent oversight as any other control.
Transaction Monitoring System Audits
Independent audit of AI-assisted transaction monitoring, including model design and tuning rationale, alert disposition documentation, false positive and negative rate analysis, and the governance process for model changes and threshold adjustments.
Fraud Detection Model Audits
Independent audit of AI-powered fraud detection systems, including model validation documentation, performance metrics, outcomes monitoring, and the human review process for AI-flagged transactions.
Customer Authentication & Identity Verification Review
Independent assessment of identity verification and authentication controls, including AI-assisted identity proofing tools, for effectiveness against synthetic identity, deepfake, and credential-based attack methodologies.
AML Model Validation
Technical validation of BSA/AML models, including transaction monitoring and customer risk rating models, delivered through Insight Risk Consulting in accordance with SR 11-7 principles and FinCEN program effectiveness expectations.
AI Financial Crime Program Readiness Assessment
For institutions evaluating or implementing AI-assisted financial crime tools, an independent readiness assessment covering model risk, data governance, control design, oversight structure, and regulatory disclosure considerations before go-live.
