CAICSO cheat sheet
CAICSO · Keep the key ideas within reach.
AI Security Program Leadership and Communication
Program maturity models typically progress from ad hoc, to defined policy, to measured controls, to continuous improvement with metrics.
Board reporting should translate AI risk into business terms: financial exposure, regulatory deadlines, customer trust, and remediation status.
Key program metrics: percentage of models inventoried, risk-assessed, and gated before release; time to remediate findings; incident count and severity trend.
RACI for AI risk assigns accountability to a named business owner; security and compliance are consulted, not solely accountable.
AI security policies should cover acceptable use, model approval, third-party models, data handling, and incident reporting.
Awareness programs must target developers (secure ML coding), business users (acceptable use, data handling), and executives (risk appetite).
Risk appetite statements define which AI use cases are prohibited, which require review, and which are pre-approved.
Cross-functional governance bodies (AI review board) include security, legal, privacy, data science, and business owners with defined decision rights.
Budget justification links AI security investment to avoided loss, regulatory penalty exposure, and release velocity enabled by standardized gates.