AI Assurance Advisor.

Select the technologies in your stack: model platforms, copilots and code assistants, agent frameworks, MCP tools, identity providers, security operations tooling, Kubernetes, CI-CD, RAG stores, and data platforms. Add the practices that apply, then rate how far along each applicable control family is. Every result is drawn live from the published control matrices, the obligation-level coverage manifests, and the threat map; nothing is invented, and every recommendation cites a real control you can open. Everything is computed in your browser from your own answers. Nothing is sent anywhere.

Findings are conditional: they state what has no evidence given what you told us, not what we observed. They also cut both ways. Where you already run the right platform, the Advisor asks you to validate that it actually covers your AI agents; where a foundational layer is absent entirely, it flags the larger gap. Expand any finding or control for its full card: what it must prove, the evidence to collect, the machine tests that check it, the human review it needs, and the anti-patterns to avoid.

Where this is going: connectors into these same technologies, so the assessment becomes empirical, read from what is actually configured rather than declared; persistent state, so your posture lives beyond a browser session; and a way to assert changes as you make them, or attach evidence, so progress is provable rather than claimed. That is the evidence fabric we are building. The Advisor is offered free during the beta period.