SentriAI for DevSecOps Engineers

Shift AI Governance Left

Governance should not start the day an agent hits production. SentriAI gives you a pre-deploy risk gate and a deterministic PDP you can call in CI, so unsafe agent autonomy is caught in the pipeline, not in an incident.

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What you get

As a DevSecOps engineer you make security a property of the pipeline, and AI agents are the newest thing that needs to clear a gate before it ships. SentriAI red-teams and scores a candidate agent’s intended behavior pre-deploy, and its deterministic dry-run decisions let you assert on policy in CI - so the same governance that runs in production runs in your pipeline first.

  • A pre-deploy risk gate that red-teams and scores a candidate agent
  • A deterministic PDP you can call in CI to assert on policy
  • The same rules pre-deploy as in production - no weaker gate
  • A recorded assessment you can wire as a release requirement

Mapped to what matters to you

Your priorityHow SentriAI helps
Gate agents before releaseThe pre-deploy gate scores intended behavior in the pipeline
Assert on policy in CIDry-run returns deterministic verdicts without side effects
Keep parityThe gate uses the same PDP and vectors as production
Make it a requirementA recorded assessment can block a release until it clears
Produce evidenceThe assessment maps into the same control evidence
Your priorities, and how SentriAI serves them

Where it fits your work

How a DevSecOps engineer uses SentriAI

  • Add a pre-deploy risk gate so agents clear governance before shipping
  • Call the dry-run PDP in CI to verify a policy change produces expected verdicts
  • Treat the recorded assessment as a release requirement in the pipeline
  • Tie agent secure-development practice to the frameworks you carry

Why SentriAI

Frequently asked questions

How does SentriAI fit a DevSecOps workflow?

It shifts AI governance left: a pre-deploy risk gate red-teams and scores a candidate agent’s intended behavior in the pipeline, and a deterministic dry-run PDP lets you assert on policy in CI, so unsafe autonomy is caught before it ships.

Does the pre-deploy gate use the same rules as production?

Yes. It uses the same PDP decisions, trust scoring, and red-team vectors that govern production, so what passes the gate is what will actually be enforced when the agent goes live - no weaker pre-deploy model.

Can I make the gate a hard release requirement?

Yes. The gate produces a recorded, scored assessment, so it can be wired into your release process as a requirement - an agent does not ship until its intended behavior clears the bar you set.

Can I test policy in CI without side effects?

Yes. The dry-run path returns deterministic verdicts without persisting events, so you can assert on policy behavior in CI against production-shaped traffic.

Stay in the loop

One practical finance briefing a week - new guides, checklists, and benchmarks.

 

Gate agents before they ship

Assess intended behavior in the pipeline. Start free, no card required.

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