AI Model Governance & Compliance Audits

• Evaluate AI models for bias, fairness, explainability, and compliance with laws like EU AI Act, GDPR, and U.S. state-level AI regulations.

• Ensure adherence to ethical AI principles and responsible AI guidelines.

Data Quality & Metadata Audits

• Assess AI training data for completeness, accuracy, and bias.

• Validate metadata governance and lineage tracking.

AI Security & Privacy Audits

• Identify vulnerabilities in AI models related to adversarial attacks, data poisoning, and privacy risks.

• Conduct PII detection and access control reviews.

AI Performance & Drift Monitoring

• Test AI models for performance degradation over time.

• Implement automated model drift detection frameworks.

Regulatory & Third-Party Risk Assessments

• Audit vendor AI models for risk management and compliance.

• Assist enterprises with AI risk assessment frameworks.