AI Governance & Risk Management
Auditable and safe AI adoption. Bridging the gap between Innovation and Regulation
EU AI Act Readiness Strategy
Categorizing systems based on the Risk Pyramid to apply precise controls:
Unacceptable Risk (Zero Tolerance)
Strict governance to block prohibited use cases (e.g., social scoring, subliminal manipulation).
High Risk (Pharma & Critical Ops)
Mandatory Conformity Assessments, Bias Auditing, and Human-in-the-loop (HITL) oversight mechanisms.
Limited Risk (GenAI & Chatbots)
Focus on Transparency: Implementing watermarking and clear disclosure protocols for users.
Minimal Risk
Standard GDPR compliance for spam filters and non-critical automation.
Technical Implementation & Security
Operationalizing governance through established industry standards:
NIST AI RMF Methodology
Executing the continuous cycle of Govern, Map, Measure, and Manage to quantify and mitigate model risks.
OWASP Top 10 for LLMs
Hardening systems against Prompt Injection, Data Leakage, and Insecure Output Handling.
"Enable & Govern" Strategy
Mitigating Shadow AI not by blocking, but by providing secure, corporate-approved alternatives.
Data Sovereignty & Auditability
Ensuring data stays within EU boundaries and maintaining immutable logs for all AI decisions.