Classification
Tier systems by impact, autonomy, data sensitivity and consequence.
EXPERTISE · AI RISK MANAGEMENT
AI risk management should change decisions, not only produce registers.
AI risk management is the structured process of identifying, assessing, treating, monitoring and communicating risks created or amplified by AI systems across their lifecycle, including impacts from data, models, applications, users, agents, third parties and operating context.
DEFINITION
What does this mean in an enterprise context?
AI risk management is the structured process of identifying, assessing, treating, monitoring and communicating risks created or amplified by AI systems across their lifecycle, including impacts from data, models, applications, users, agents, third parties and operating context.
CONTROL DIMENSIONS
Four lenses for executive review.
Controls
Map preventive, detective and corrective controls to lifecycle decisions.
Monitoring
Track drift, misuse, incidents, exceptions and changing operating context.
Accountability
Assign risk ownership, acceptance authority and escalation routes.
QUESTIONS TO ASK
Useful questions for leadership, risk and technology teams.
Which AI risks warrant stronger governance gates?
The answer should identify an accountable owner, a defined control expectation and evidence that the control operates.
How should autonomy affect risk classification?
The answer should identify an accountable owner, a defined control expectation and evidence that the control operates.
What evidence demonstrates control effectiveness?
The answer should identify an accountable owner, a defined control expectation and evidence that the control operates.
When should risk acceptance require executive approval?
The answer should identify an accountable owner, a defined control expectation and evidence that the control operates.
RESEARCH
Independent analysis on ai risk management & control design.
The research library is published separately under /research/ using WordPress.
INDEPENDENT ADVISORY
Complex technology. Clearer risk decisions.
For AI strategy, governance, Agentic AI, security, assurance or cyber-risk requirements, describe the decision you are facing and the context around it.