Layergrid gives security teams a live inventory of every AI agent, model, and MCP server running in their company, and control over what each one can do.

Most companies don't know how many AI agents they're actually running. Developers ship them faster than security can track them, and each agent quietly picks up permissions: a codebase here, a customer database there, a Slack integration on top. Each one looks harmless on its own. Combined, they're a path for exfiltrating your most critical data. Existing security tools can't see this because they were built to watch people, not software that acts on its own.

Layergrid finds every AI agent in your environment, builds a full bill of materials for each one (the model, the prompts, the tools it can call, the data it can reach, the credentials it holds), red teams it for vulnerabilities before attackers do, and enforces guardrails so it can't step outside policy. It all comes together in a Security Context Graph that shows you blast radius at a glance, so you can hand auditors evidence instead of assurances.

The platform also includes PodArmor, our container security product: continuously rebuilt, hardened images for stacks like Redis, RabbitMQ, Node.js, and Python, shipped with signed SBOMs that plug straight into the AI bill of materials. The software underneath your AI stack sits in the same evidence trail.

If you're up against the EU AI Act, ISO 42001, CERT-In, SOC 2, PCI DSS, or RBI and DPDP requirements, Layergrid produces the AI inventory and audit evidence they ask for.

Built by a former fintech CISO who needed this and couldn't buy it. Runs as SaaS or self-hosted, and is live in production customer environments today.

We're building toward a world where no consequential AI system runs unaccounted for: where any company can prove, with evidence, what its AI can do, know, and touch.

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