AI Governance

Our AI Governance as a Service offering ensures your organization develops and implements AI systems that are secure, ethical, and auditable.

Delivered under the AIMS System (AI Integrated Management System) and aligned with ISO/IEC 42001 and OWASP AI Security & Privacy Guideline

AI Risk Assessment

End-to-end assessment of AI system risks including data privacy, misuse, drift, and explainability.

ISO 42001 Readiness

Gap analysis and readiness assessment for ISO/IEC 42001 certification.

AI Policy & Governance Setup

Define roles, responsibilities, acceptable use, and risk ownership models.

AI Model Inventory & Registry

Catalog of all internal and 3rd-party models with risk and sensitivity tagging.

Data Protection Impact (AI DPIA)

Privacy and bias analysis for AI systems under GDPR, CCPA.

OWASP AI Security Hardening

Apply OWASP AI controls across training, inference, monitoring, and APIs.

Responsible AI Frameworks

Apply governance aligned with EU AI Act, NIST AI RMF, and internal AI ethics principles.

Third-Party AI Risk Reviews

Evaluate and document risks of AI vendors and APIs (e.g., ChatGPT, Copilot).

AI Incident Response Planning

Develop processes for AI model failure, hallucinations, data leakage, and regulatory escalation.

Model Monitoring & Drift Detection

Recommendations for MLOps controls including anomaly and output monitoring.
 

Governance KPIs & Reporting

Track and report AI usage, risks, and controls to management and auditors.