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TL;DR
- AISPM success is measured by coverage, risk reduction, and control effectiveness, not by number of findings.
- Use governance structures like NIST AI RMF and ISO/IEC 42001 to frame metrics and reporting.
- Map risk categories to OWASP LLM Top 10 so your metrics reflect real failure modes.
Metric principles for AISPM
Measure what changes risk
Prefer metrics tied to blast radius, privilege, and data exposure.
Measure what you can control
If a metric cannot drive a decision, it becomes noise.
Measure continuously
AI systems change often. Your metrics must show trends, not snapshots.
The AISPM metrics set
Coverage metrics
- % of AI assets inventoried by type: AI apps, agents, MCP servers, RAG stores, endpoints
- % of AI assets with owners and criticality assigned
- % of third-party AI services and connectors documented
Identity and privilege metrics
- Number of long-lived tokens and time to eliminate them
- % of agents operating with least privilege
- Average scope breadth per tool gateway, trending down over time
Data exposure metrics
- % of AI systems with defined data classification rules for prompts and retrieval
- Count of “restricted data class” violations per week, trending down
- % of RAG corpora with provenance and approval records
Posture baseline metrics
- % of endpoints enforcing authentication and authorization
- % of systems meeting logging and retention baselines
- % of MCP servers with tool catalogs and approvals
Risk and prioritization metrics
- Count of critical findings by blast radius category
- Mean time to triage high-risk findings
- % of high-risk findings with a verified remediation plan
Remediation metrics
- MTTR by severity
- SLA adherence rate
- Repeat finding rate, by control family
Runtime signal metrics
- Anomalies per 1,000 invocations
- Agent loop rate and runaway task rate
- Retrieval anomaly rate in RAG systems
Governance and audit metrics
- % of AI assets with completed risk assessments and reviews
- Exception count and exception aging
- Evidence completeness score: inventory, access mapping, logs, approvals
ISO/IEC 42001 emphasizes continual improvement of an AI management system, which is exactly what trend metrics should demonstrate over time.
A simple reporting format for leadership
- One slide: coverage trends
- One slide: top risk reductions achieved
- One slide: overdue critical remediation
- One slide: exceptions and policy drift
