Framework mapping fails when PDF slides never reach runtime. Practitioners need traceable checkpoints: identifiers on policy packs, evaluation datasets versioned beside model weights, dashboards showing residual risk deltas after each release. OWASP LLM Top 10 provides threat vocabulary; NIST AI RMF structures Govern / Map / Measure / Manage lifecycle activities—combine them instead of cherry-picking acronyms for slide decks.
Sampling OWASP mappings
- LLM01 Prompt Injection ↔ layered semantic + structural controls + tool sandboxing.
- LLM02 Insecure Output Handling ↔ outbound scanning before UI or API consumers—especially JSON passed to interpreters.
- LLM06 Sensitive Information Disclosure ↔ PII/token detectors, egress policies on retrieval sources, minimized prompt logging.
- LLM08 Excessive Agency ↔ autonomy budgets and human confirmation on high-impact tool classes.
- LLM10 Model Theft ↔ rate protections, anomaly detection on embedding-extraction-ish traffic (where applicable).
Sampling NIST AI RMF overlays
- Govern: role clarity for model owners vs security vs product; change control tying gateway policy IDs to approvals.
- Map: dependency graphs for data sources, MCP servers, and third-party embeddings.
- Measure: continual metrics—block precision, dwell time before patch, simulator coverage—not annual questionnaire snapshots.
- Manage: documented response playbooks feeding back into revised policies and training—not ticket closure only.
Making audits cheap
Export deterministic reports from historical gateway events showing which control IDs engaged, remediation latency, model versions observed, and material incident artifacts. Evidence should be chronological and tamper-evident enough for pragmatic reviews—without drowning reviewers in opaque floats.
Intertrace reporting aims to shorten the bridge from abstract framework rows to timestamps your CISO already trusts—the same events operators triage daily—not parallel shadow databases.