How to Assess & Manage AI-Related Risks
Security Boulevard, Thursday, October 29th, 2026
Kovrr outlines how organizations can inventory, assess, quantify and monitor AI-related risks and report them to the board.
In a vendor post syndicated on Security Boulevard, Kovrr argues AI risk management should be a continuous, data-driven discipline combining cross-functional governance, impact-based risk mapping, and ongoing monitoring, noting NIST AI RMF, the EU AI Act, and ISO 42001 share similar principles.
The first step is inventorying all AI systems, including shadow AI, embedded features, third-party AI, and agents, preferably with automated telemetry.
Risks are tracked in a scenario-based register and translated into financial terms such as annualized loss expectancy.
The article covers preventive and detective controls and recommends board reporting on quantified exposure, compliance readiness, and sanctioned versus unsanctioned AI use.