Prove trust on one agent in six weeks
From an agent in any framework to a certified agent in production. We run the lifecycle with you the first time — Discover finds what you are running, Diamond scores the one that matters, Dome defends it — and you finish with a team that can run the next one without us.
Prove trust on one agent.
- An AI governance workshop with your risk owner
- Discover finds your shadow agents
- Diamond assesses vulnerability
- Dome defends the pilot agent
The hard part is not the software, it is the first time through
You can install the SDK this afternoon. What takes months is deciding which agent to prove first, turning a policy that lives in a PDF into one that runs in CI, and getting evidence into a shape the person who signs will actually accept. Every organization does that badly once. We would rather it was with us.
Twenty candidate agents and no shared basis for saying which one to prove trust on first, so the argument outlasts the quarter.
The rule exists in a document and in somebody’s head. Neither one runs in CI, and neither one blocks a bad release.
Engineering says it passed. Risk asks passed what. The evidence was never built in a form the signer accepts.
Register and baseline, harden and guard, certify and deploy
Three two-week phases. Each one ends with something you can show somebody: an inventory, a score that moved, an agent in production with its evidence attached. The first phase is a proof of concept — you see your real agents and their real scores before you commit to the rest.
- Discover the shadow agents already running
- Give each one a SPIFFE / SPIRE identity
- Evaluate a bespoke trust score
- Calculate your organization risk
- Specify your organization’s policies
- Enforce those policies inside every agent
- Re-test, and see the trust-score uplift
- Deploy the certified agent
- Monitor every policy-relevant event
- Detect policy violations as they happen
- Evolve the agent’s config, code and controls
You finish with a certified agent in production and a team that has run the loop once, which is the only reliable way to run it again.
Start with a proof of value, scale to platform
Flat price for all your agents. No per-seat traps, no token-based blowouts, no per-agent novelties.
Prove trust on one agent.
- Six-week guided engagement, fixed scope
- AI governance workshop
- Discover finds shadow agents
- Diamond assesses vulnerability
- Dome defends one pilot agent
Operationalize across a line of business.
- Up to 10 agents in development
- Trust gates in your CI/CD
- Custom harnesses and policies
- Priority support
Trust infrastructure for the whole population.
- A per-agent instance in production
- VPC, on-premise or air-gapped
- Darwin for continuous evolution
- SSO, SLAs and a named technical account manager
Week one runs the commands you would run alone
This is a guided pass through the product, not a bespoke build. The engagement uses the same CLI that ships on the free tier, so nothing we do in six weeks becomes something only we can maintain.
Start with a proof of concept
Six weeks, one agent, from an unmeasured baseline to certified in production. Write to contact@vijil.ai or book a time.