Production AI with provenance.
Signed model artifacts. AI-BOM per release. MCP server registry. Continuous monitoring of every agent tool call. The platform layer your security team wants — without breaking your model deploy loop.
What your week looks like today.
Model promotion is a wiki page. Half the steps are 'ask Pete.'
Your inference cluster has 14 MCP servers; the IAM scopes are an afterthought.
Audit asks for a signed provenance trail of the deployed model. You have a tag in DVC.
A retraining job pulled in a poisoned dataset last quarter. Took 3 weeks to figure out.
Eng asks 'what models did this prompt route to' — answer involves 4 hops through Datadog.
Compliance asks for AI Act evidence. Your evidence is screenshots.
Benefits, by use case.
Line by line — what each use case does for your specific role.
What you'll actually use.
AI-native and traditional, in the rhythm of your week.
- AI-BOMCycloneDX 1.6 bill-of-materials for AI.
- MCP ServerServer registry with capability scopes.
- Griffin AIReasoning over the agent + tool graph.
- GuardrailsInline tool-call enforcement.
- Eval HarnessReproducible evals tied to releases.
- SLSA ProvenanceL3+ signed build provenance.
- Sigstore / CosignModel artifact signing.
- SBOM StudioUnderlying inference service SBOM.
- Secure ContainersZero-CVE inference base images.
- IaC SecurityInference cluster IaC + drift.
Where this Persona fits.
The Customer Personas where this role gets the most from Safeguard.