Policy as code
Readable policies with conditions, limits and tests. Simulate a change against past traffic before you deploy it.
Security & governance for AI agents
Authorize every agent action against policy, bring a human in when it matters, keep credentials out of agents' reach and record everything in a tamper-evident audit trail. Decisions return in milliseconds.
support:tickets.readALLOW14 mssupport:refunds.create · $50ALLOW17 mssupport:refunds.create · $300APPROVAL_REQUIRED28 mssupport:customers.deleteDENY6 mssupport-bot wants to refund $300 on order A-18
Platform
One control point for every runtime: APIs, tools, MCP servers, browsers and databases.
Readable policies with conditions, limits and tests. Simulate a change against past traffic before you deploy it.
Sensitive actions wait for a person. Approvals are bound to the exact request, used once and expire.
GebSecure executes the call and injects the credential itself. Agents never hold keys, and echoed secrets are redacted.
Inbound content is scanned for prompt injection, outbound data for sensitive values, before either reaches its target.
Governed browser sessions: purchases, account changes and messages are recognised and routed through policy.
Put any MCP server behind GebSecure. Every tool call is authorized, inspected and audited, with no client changes.
Every decision, approval and execution is recorded with its policy trace, risk and trace id, verifiable end to end.
Strict tenant isolation enforced in the database, and organizations pinned to their data region.
How it works
The same eleven steps run for every agent action, on every runtime.
Developers
Ask before you act, or let GebSecure execute through a connection so your agent never sees the credential.
pip install gebsecurenpm install @gebsecure01/sdkfrom gebsecure import GebSecure
client = GebSecure(api_key="gsk_...")
result = client.guard("refunds:create", "stripe:charge/ch_123",
{"amount": 250, "currency": "USD"})
if result.allowed:
issue_refund()
else:
print("blocked:", result.decision.reason)
import { GebSecure } from '@gebsecure01/sdk';
const gs = new GebSecure({ apiKey: process.env.GEBSECURE_API_KEY });
const { allowed, decision } = await gs.guard(
'refunds:create', 'stripe:charge/ch_123', { amount: 250 });
if (allowed) refund();
else if (decision.decision === 'APPROVAL_REQUIRED') notify(decision.approval?.url);
Pricing
Usage beyond the included amounts is billed per unit on paid plans, up to hard limits that protect you from runaway agents.
$0
For trying GebSecure
$99/ month
For teams shipping agents
$499/ month
For agents in production
Custom
For regulated organizations
Security
Envelope encryption with your cloud KMS. Secret values are write-only and never returned to agents or users.
Multi-factor authentication, single sign-on (OIDC and SAML), SCIM provisioning and Google or GitHub sign-in.
Scoped, short-lived tokens for agents; network egress limited to what each service needs.
Every release is signed and verified before it runs, with build provenance and a software bill of materials.
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