AI does not need less power. It needs an authorization boundary.

Your coding agent is about to run UPDATE on the production database. AgentGate stops that call before it executes, holds it for a named reviewer or denies it by policy, and records who approved what. The agent never holds the database credential, so it cannot skip the check.

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Create a live workspace. No production credentials required.

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Plan a managed, private or self-hosted deployment.

The case for AgentGate · in 21 seconds

See the problem and the control model

Watch the security problem and the AgentGate control model, then verify it against a real MCP workflow.

The missing authorization layer for AI agents

AI models are getting safer, but broad tool permissions still turn one agent action into production risk. See how AgentGate adds default-deny policy, human approval and an attributable audit trail.

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Yapay zekâyı durdurmayın; eylemlerini yetkilendirin

AgentGate, AI ajanları ile MCP araçları arasına runtime authorization katmanı koyar; her çağrıyı politika, risk, onay ve audit kanıtıyla kontrol eder.

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Ready to see the control path?Run the protected MCP quickstart Explore the product tour

Runtime security for every AI agent tool call

AgentGate is an authorization gateway between MCP-compatible AI agents and the tools that can change code, data, infrastructure or business systems. It evaluates the live action before execution—not only the agent's identity or the log created afterward.

Prevent

Block disallowed production actions before a routed MCP call executes with default-deny, fail-closed policy enforcement.

Approve

Review eligible sensitive requests with expiring, request-bound human approvals and replay protection.

Prove

Inspect attributable AI agent audit logs and export decision evidence for security and compliance reviews.

The agent never holds the production credential

A gateway only protects calls that go through it. So AgentGate keeps the upstream credential: register the database, deploy or payment MCP server's API key or token once, and it is encrypted at rest and attached by the gateway only after a call is allowed or approved. The agent authenticates with its own AgentGate key, which cannot reach the upstream directly.

This holds for hosted and self-hosted HTTP MCP servers when the upstream accepts only that credential. Local stdio tools run on the developer machine with that machine's access, so pair the Local Connector with scoped local credentials.

Why AgentGate

Approvals bound to the exact request

A reviewer approves one specific call with its arguments. The approval expires, cannot be replayed and cannot be reused for a different request.

Credentials stay behind the gateway

Agents get an AgentGate identity, not the upstream key, so the approval step is not optional for the agent.

Runs where your data lives

Use the hosted gateway, or deploy the same control plane with Docker Compose or Helm and keep audit evidence in your own infrastructure.

See an MCP tool call reach a policy decision

This interactive scenario uses synthetic data. Each decision names the rule that produced it, in the same order the live policy engine checks them.

Sample data · browser-only simulation

Rules are checked in the same order as the production engine: built-in packs, then custom rules, then default deny. The first matching rule decides; the risk score is recorded as context for reviewers.

Scenario

Inspect a tool call

{
  "id": "postgres",
  "tool": "postgres.query",
  "environment": "production",
  "sensitivity": 30,
  "arguments": {
    "query": "UPDATE example_invoices SET status = 'reviewed' WHERE id = 42"
  },
  "flags": [
    "write"
  ]
}

Ready to inspect a sample call.

Run the inspection to see which rules are checked.

No rule evaluated yet.

Risk context: 0 / 100

Run the inspection to see each contributing factor.

Approval window

Approval expiry starts only for decisions requiring review.

Scenario audit evidence

[]

Compare all five scenarios and matched rules

Tool	Environment	Matched rule	Decision	Risk context
shell.exec	production	restricted-production	DENY	100
postgres.query	production	restricted-production	DENY	80
github.read_file	development	developer-safe-defaults	ALLOW	10
stripe.refund	production	financial-actions-require-approval	APPROVAL_REQUIRED	70
browser.navigate	production	internal-app-access-requires-approval	APPROVAL_REQUIRED	60

Explore the interactive product tour · Run your first protected MCP workflow

Choose where control runs

Hosted gateway

Route reachable HTTP MCP tools through the managed gateway and operate policy from your AgentGate workspace.

Local Connector

Authorize local stdio tools on the developer machine before they execute.

Self-hosted

Deploy the API, gateway, worker and console with Docker Compose or Helm in infrastructure your team operates.

Check integration compatibility

One workflow: coding agent → production DB / deploy

1. Give the agent its own AgentGate identity.
2. Register the database or deploy MCP server and store its credential in AgentGate.
3. The agent calls the tool; AgentGate inspects target, capabilities and arguments.
4. Policy allows it, denies it, or holds that exact request for a reviewer.
5. Only then does the gateway attach the credential and forward the call; the decision is exported as evidence.

Current production defaults deny database writes and shell/deploy mutations classified as destructive. Validate tool capability classification and approval eligibility before enabling a real workflow.

A control boundary you can inspect

Keep IAM for resource permissions and SIEM for investigation. AgentGate adds a decision point for routed MCP calls, with pattern-based redaction and an append-only application audit trail.

Read the Trust Center · Compare build, buy and existing controls

Who is behind AgentGate

AgentGate is a SOFTIQA product. We have a SOC 2 plan; until an audit is complete we make no certification claim. Security documentation, an architecture review and a self-hosted deployment are available during evaluation, so you can verify the controls yourself.

About AgentGate Labs · Run a scoped enterprise pilot

AI agent security by use case

MCP security gateway

Put authorization, risk scoring and a default-deny control point in front of MCP servers and tools.

AI coding agent security

Control tool calls from Codex, Claude Code, Cursor, Cline and compatible internal agents.

Human-in-the-loop approvals

Hold sensitive database, deploy, shell, finance and customer-data actions for a qualified reviewer.

AI agent audit logs

Connect agent identity, tool arguments, policy decisions and approval outcomes in one trail.

Practical MCP security resources

Use the production MCP security checklist, compare AgentGate with IAM, or read the guide to securing Claude Code MCP servers. Each resource links the risk to a control you can test in the product.

Verify the protection yourself

Run a safe MCP workflow, inspect its decision, approve an exact request once, and export the audit evidence. The technical trial includes human approvals.

Run the complete evaluation