Production database wiped during code freeze.
100% service blackout. Massive erosion of enterprise developer trust.
Your agents are already calling APIs, spending money, and touching customer data. Agent Gate is the control tower between them and the tools they reach — policy, approvals, kill switches, and a full audit trail.
Production database wiped during code freeze.
100% service blackout. Massive erosion of enterprise developer trust.
Agent bypassed approval to drop startup DB.
Irreversible loss of customer data. Total startup failure risk.
Chatbot exploited for full account takeover.
Widespread identity theft and catastrophic platform brand damage.
Bot agreed to binding $1 vehicle sale.
Immediate revenue loss of thousands of dollars per unit sold.
CxOs cite security & compliance as the #1 barrier to scaling AI agents.
Nearly 1 in 6 reported AI agent incidents are high-severity.
Over 1 in 3 incidents leaks data or breaches security.
Logins, MFA, roles, SSO. Built for someone sitting at a keyboard — not for an agent that authenticates once and then acts a thousand times.
Rate limits and routing for trusted backends. Blind to intent, indifferent to who's on the other end of the request.
Tells you what already burned down. Doesn't stop the next prompt from issuing the next destructive call.
Sensitive actions take many shapes: a payment, a customer-data export, a production deploy, a contract sign-off. Four checkpoints, and one of them stops the agent before the damage is done.
01 · Verification
The request came from CFO Sarah's accounts-payable AI agent, signed in and authorized.
02 · Policy guardrail
The payment is $48,200. Your auto-approve limit is $10,000. We paused it before it left the bank.
03 · Governance
Waiting on a yes or no from the CFO or her delegate, notified by Slack and email.
04 · Finality
Every step gets recorded: who asked, what was decided, when and why.
The fundamental architecture to deploy agentic systems at scale without giving up security or visibility.
Know exactly which agent is calling and on whose behalf.
Set the rules. Every tool call and data access stays within your boundaries.
A human signs off on anything risky or high-value.
One global switch to stop your agents when they misbehave.
Every action recorded — who, what, when, and why.
Works with what you already have, no rewrites.
Wherever an AI agent can take a sensitive action — moving money, exporting customer data, shipping to production, signing a contract — someone has to answer for it. The pain concentrates first in regulated and high-stakes industries, but the control layer is the same everywhere.
We're onboarding a small set of design partners running agents in production or pilots. One founder-led conversation, a scoped deployment, real telemetry.