KavachSee the live estate first
Inventories go stale in minutes. We keep a live, ownership-linked map of agents, MCP servers, tools and non-human identities across clouds.
Kavach-AI was founded by security engineers and AI researchers who watched agents gain production access faster than security teams could follow. We build the guardrails that let AI ship without shipping risk.
Inside-Out is more than a tagline. We start from what is actually running — the agents, tools and data in flight — and work outward to the controls, evidence and response.
Inventories go stale in minutes. We keep a live, ownership-linked map of agents, MCP servers, tools and non-human identities across clouds.
Runtime context separates real exposure from theoretical risk, so teams fix the ~5% of findings that can actually reach production data.
Our detection engine grew out of an open-source MCP middleware. The rule families are public, portable and yours to extend.
Our detection engine starts life as an open-source MCP middleware — 11 rule families, released on PyPI.
A team out of cloud security and applied AI research incorporates in San Francisco, with R&D in Bengaluru.
Live inventory, attack-path exposure and real-time protection for agents, MCP servers and multi-cloud workloads.
Seed and Series A funding led by Northgate Ventures, with Latitude Partners and Arkline Capital.
Independently audited controls, a public trust center, and more than 1M tool calls evaluated daily.
Practitioners from cloud security, runtime detection and applied AI research.
Kavach-AI has raised $38M across seed and Series A rounds.
See the platform on your own stack, or come build it with us.