Solutions · Platform, security and AI teams connecting agents to internal tools
AI agents in production
Put a gateway between your AI agents and your MCP servers that checks who is calling, decides what each caller may run and records every decision, without changing your servers.
What keeps breaking
The problems these teams face.
- Any agent that can reach an MCP server can call every tool it exposes
- A tool definition can change after you reviewed it
- No reliable record of which caller ran which tool, with what outcome
Who this is for
Platform, security and AI teams connecting agents to internal tools.
How ZHASK answers
Outcome first, mechanism attached.
Decide per tool: allow, deny or hold for approval
Roles carry policies scoped to a server and a tool pattern. An approve policy holds each matching call until a different operator decides it, and the approval covers only that exact call.
Pin tool definitions
aegis pins each tool definition the first time it sees it and quarantines the tool if the definition later changes, refusing calls until an operator reviews and releases it. The first definition becomes the baseline, so review a server before you register it.
Keep an audit log you can verify
Every allow, deny and block, and every admin change, is written to a hash-chained audit log, and one API call verifies the chain.
See it against your architecture.
A walkthrough of aegis against your environment.