An internal copilot reaches Slack, Notion, Drive, and your systems through MCP. Route it through PolicyLayer and every call is scoped to who is asking and checked against your policy before it runs.
For platform and security teams running AI agents in production.
It rarely looks like a leak. It looks like a thorough answer.
Connect your company systems and the copilot can read across HR, finance, and engineering for whoever asks.
Without per-person scoping, a junior employee's question can surface a document only executives should see.
Sensitive content lands in a reply, and nothing recorded who was allowed to see what.
The reads and writes a company copilot makes across your stack. PolicyLayer governs each one.
Drop PolicyLayer into your MCP request path. Your agents keep their tools. You keep control. Core concepts →
Policy evaluates who is asking on every call, so the same copilot returns different results by identity and an out-of-scope read is denied.
Grant reads and leave it there. Writes and deletes stay denied unless you explicitly allow them.
Inspect the call: restrict reads to allowed sources, redact sensitive fields from results, deny writes to systems of record. Writing policies →
Cap queries a minute, so a copilot cannot sweep your whole corpus in one run.
Rules run as code, first denial wins. The same call gets the same decision every time.
Build policy around the fields that matter (source, identity, sensitivity) in the visual editor. Allow, deny, rate-limit, or require approval, per tool. Writing policies →
Whatever your agents touch, the same engine, audit, and access model is doing the work underneath every rule you write.
Rules run as code, not model judgement: argument-level conditions, quotas, deny-by-default. The same call gets the same decision every time.
Writing policies →Your security or compliance team writes and attaches policy without ever holding the upstream credentials or grant tokens.
Roles →Every call is logged with its decision and the rule that fired, attributed to the identity, in an append-only record. Argument values are redacted, never stored.
Logs & security →Upstream secrets are encrypted at rest and injected by the gateway. The agent only ever holds a scoped token.
Logs & security →Every person and agent connects with its own scoped grant. Rotate or revoke any one of them instantly, without disrupting the rest.
Core concepts →Hosted gateway. Point your clients at it, register a server, issue a token. Nothing to install.
Quick start →Each person's copilot connects with its own scoped grant token. Policy evaluates who is asking on every call, so the same copilot returns different results by identity and an out-of-scope read is denied before it runs.
Policy is evaluated in memory before the call is forwarded, so the overhead is negligible. Allowed calls pass straight through to your workspace.
Upstream credentials are encrypted at rest and injected by the gateway. Your agents only ever hold a scoped token, never your workspace credentials.
No. Agents keep the same tools and schemas. PolicyLayer enforces policy on each call (allow, deny, rate-limit, or require approval), apart from any tools you deliberately hide.
Yes. Every call through the gateway is logged with the tool, its arguments, and the allow or deny decision. State-changing dashboard actions are recorded in a separate admin audit log.
Per-person scopes, read-only defaults, field redaction, and a tamper-proof audit log on every call your internal copilot makes. Route your existing MCP servers through the gateway, live in minutes.
Free to start. No card required.