Design the program once. Run it everywhere.
One policy engine across SCA, IaC, DAST, AI agents and TPRM. One deployment shape that fits SaaS, private cloud, or sovereign. One reference architecture for the next five years.
What your week looks like today.
Your reference architecture has 11 tools. Six of them duplicate each other.
Each new compliance framework triggers a new tool buy because the existing ones can't produce the evidence.
Sovereign / air-gapped deployment is a yearly 'we'll get to it' ask from one business unit.
AI agents are in production; nobody asked you to architect their governance.
Policy is a Confluence page. Enforcement is per-tool. Drift is invisible.
You designed M&A diligence as 'hire a third party.' The third party is the bottleneck.
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.
- AegisThe underlying architecture — runs in any deployment shape.
- Griffin AIReasoning layer across the whole graph.
- MCP ServerFirst-class agent governance primitive.
- AI-BOMContinuous bill-of-materials for models and prompts.
- GuardrailsInline policy enforcement at the agent layer.
- ESSCMEnterprise software supply chain manager — your reference dashboard.
- SBOM StudioCycloneDX 1.6 + SPDX 3.0 continuous SBOMs.
- TPRMContinuous third-party risk.
- Scanner SuiteOne engine across SCA, IaC, DAST, containers, secrets.
- SLSA ProvenanceL3+ build provenance, signed with Sigstore.
Where this Persona fits.
The Customer Personas where this role gets the most from Safeguard.