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.
The recurring friction this role absorbs before any of it becomes someone's roadmap item.
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.
| Use case | Benefit to you | Metric |
|---|---|---|
| Model artifact signing | Sigstore-signed provenance for every model artifact. | Signed |
| AI-BOM per release | Models, prompts, datasets, dependencies. | Per release |
| MCP server registry | All servers, scopes, audit log. | Live |
| Continuous monitoring | Every tool call audited and replayable. | 100% |
| Data lineage | DSPM across training, fine-tuning, eval data. | DSPM |
| Retraining safety | Poisoned-dataset detection in pipeline. | Inline |
| Inference IAM | Capability scopes tied to your service mesh. | Mesh |
| AI Act evidence | CRA + AI Act packs auto-mapped. | Mapped |
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.
Wire up your model registry.
Bring the work already on your plate — we will walk it through the platform as MLOps Engineer, not as a demo tenant.
The people on the other side of this problem
AI / ML Engineer
Ships models and the agents built on them.
View rolePlatform Engineering
Owns the paved road everyone else builds on.
View roleCloud Security Engineer
Owns the posture of everything running in the account.
View roleDevSecOps Engineer
Puts the gates in the pipeline and keeps them from blocking everyone.
View roleThe work behind the outcomes above
Self-healing security runs on Safeguard.
Your first fix PR is minutes away.
No sales call required, even your agent can complete the purchase over MCP.