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.
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.
Line by line — what each use case does for your specific role.
AI-native and traditional, in the rhythm of your week.
The Customer Personas where this role gets the most from Safeguard.