Governed autonomy
for AI agents.

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.

Calls / min
428
Cleared
98.6%
Blocked / min
6
agent.devagent.legalagent.salesagent.financeagent.supportAGENT GATETWR · 080.D
Live incident feed

Agents are already in production. So are the incidents.

  • Replit AgentJul 2025
    Failure

    Production database wiped during code freeze.

    Business impact

    100% service blackout. Massive erosion of enterprise developer trust.

  • PocketOS — Cursor AgentApr 2026
    Failure

    Agent bypassed approval to drop startup DB.

    Business impact

    Irreversible loss of customer data. Total startup failure risk.

  • Meta — Instagram ChatbotJun 2026
    Failure

    Chatbot exploited for full account takeover.

    Business impact

    Widespread identity theft and catastrophic platform brand damage.

  • Chevrolet — Sales BotDec 2023
    Failure

    Bot agreed to binding $1 vehicle sale.

    Business impact

    Immediate revenue loss of thousands of dollars per unit sold.

It's not anecdotal. It's measured.

Barrier · Live
0%

CxOs cite security & compliance as the #1 barrier to scaling AI agents.

Severity
0%

Nearly 1 in 6 reported AI agent incidents are high-severity.

Exposure
0%

Over 1 in 3 incidents leaks data or breaches security.

Source · IBM, Building the IT foundation for agentic AI at scale, 2026

Your existing controls weren't built for systems that reason, chain calls, and act on their own.

  • IAMMismatch
    Built for humans

    Logins, MFA, roles, SSO. Built for someone sitting at a keyboard — not for an agent that authenticates once and then acts a thousand times.

  • API GatewaysMismatch
    Built for services

    Rate limits and routing for trusted backends. Blind to intent, indifferent to who's on the other end of the request.

  • Logging & SIEMMismatch
    Built for postmortems

    Tells you what already burned down. Doesn't stop the next prompt from issuing the next destructive call.

One control layer.
Four checkpoints before any sensitive action runs.

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.

ExampleRef · PX-48200-NW

A $48,200 vendor payment came in for Northwind Supplies.

  1. 01 · Verification

    We checked who's asking

    The request came from CFO Sarah's accounts-payable AI agent, signed in and authorized.

  2. 02 · Policy guardrail

    Policy halted: over your $10k limit

    The payment is $48,200. Your auto-approve limit is $10,000. We paused it before it left the bank.

    High sensitivityManual review required
  3. 03 · Governance

    Sent to Sarah or her delegate for approval

    Waiting on a yes or no from the CFO or her delegate, notified by Slack and email.

  4. 04 · Finality

    Sealed in the audit log

    Every step gets recorded: who asked, what was decided, when and why.

Status · Held for review
Protected by Teranode

A unified layer for autonomous safety.

The fundamental architecture to deploy agentic systems at scale without giving up security or visibility.

  • 01

    Identity & Attestation

    Know exactly which agent is calling and on whose behalf.

  • 02

    Policy Engine

    Set the rules. Every tool call and data access stays within your boundaries.

  • 03

    Human-in-the-Loop

    A human signs off on anything risky or high-value.

  • 04

    Kill Switch

    One global switch to stop your agents when they misbehave.

  • 05

    Audit Trail

    Every action recorded — who, what, when, and why.

  • 06

    MCP-Native

    Works with what you already have, no rewrites.

Built for the teams already absorbing the risk.

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.

Where the pain concentrates today
  • Financial Services
  • Healthcare
  • Legal
  • Public Sector
  • Insurance
  • Critical Infrastructure

Join the pilot.

We're onboarding a small set of design partners running agents in production or pilots. One founder-led conversation, a scoped deployment, real telemetry.