Ship AI features. Sleep at night.
AI-BOM for the models, prompts, and datasets you ship. Inline prompt-injection defense. MCP server governance scoped to your IAM. Reachability across the agent tool graph.
What your week looks like today.
Customers ask 'what AI is in this feature?' You build the answer from memory each time.
Your MCP servers have ambient access to the data warehouse; nobody documented the scopes.
A third-party tool you added last sprint just sent crafted output that hit a prompt-injection.
Your model evals are in a notebook nobody else can run.
Security asks for SBOM of your prompt library. You don't have one.
EU AI Act timelines are creeping in. Legal asks for documentation. You shrug.
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.
- Griffin AIReasoning over the agent + tool graph.
- GuardrailsInline prompt-injection / exfil defense.
- MCP ServerCapability-scoped tool access.
- Eval HarnessReproducible model evals in CI.
- SBOM StudioUnderlying SBOM for ML services + dependencies.
- Secret DetectionPre-commit catches API keys in prompts.
- IaC SecurityScopes for the data-warehouse perms agents need.
- Scanner SuiteSame engine for ML services as everything else.
- Compliance ReportingEU AI Act + CRA evidence packs.
Where this Persona fits.
The Customer Personas where this role gets the most from Safeguard.