All-or-nothing access slows adoption
If teams only choose between unrestricted agent access and total blocking, useful automation gets stuck or risk becomes unacceptable.
Human approval workflows
Put humans in the loop for high-risk AI agent actions
Not every AI agent action should be blocked, and not every action should run automatically. AgentGate routes sensitive tool calls to approval so production deploys, database writes, customer exports and payment actions can move quickly without removing human judgment.
What this page helps you solve
Learn how human-in-the-loop authorization works for high-risk AI agent actions, MCP approval gateways and production agent workflows.
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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 risk buyers are trying to control
High-risk actions need context
Approvers need redacted arguments, tool name, risk score, target environment and policy reason before making a decision.
Approval links can become risky
A reusable or long-lived approval token can turn one legitimate decision into a replayable authorization bypass.
Continue your security review
External risk signals
The market is moving toward AI-specific runtime controls
These third-party benchmarks are not AgentGate performance claims. They explain why buyers now ask for governance, authorization, auditability and data protection before approving agentic workflows.
$4.99M
global average breach cost
IBM Cost of a Data Breach Report 2026 reports a record global average breach cost and highlights rising AI-driven attack pressure.
IBM Cost of a Data Breach Report 202656%
increase in AI-driven attacks
IBM frames AI-driven attacks as a major driver of new security spending and governance requirements.
IBM Cost of a Data Breach Report 202631%
breaches starting with software vulnerabilities
Verizon DBIR 2026 reports software vulnerabilities as a leading breach entry point, relevant to agents that can run code and touch production systems.
Verizon DBIR 2026LLM01
prompt injection is a top LLM risk
OWASP identifies prompt injection as a major LLM application risk that can lead to unauthorized access, data exposure and compromised decisions.
OWASP Top 10 for LLM ApplicationsHow AgentGate solves it
Risk-based routing
Low-risk calls can pass under policy while production writes, exports, deploys and finance actions route to review.
One-time approvals
Approval decisions use scoped, expiring tokens with replay protection so approvals cannot be reused later.
Approval audit trail
Each decision records who approved or rejected, when it happened and why the tool call required human review.
Before and after AgentGate
Without runtime authorization
With AgentGate
Agents either run everything automatically or get blocked from useful work.
Policy allows safe work and routes sensitive actions to humans.
Approvers see vague messages without risk or redacted context.
Approvers see tool name, risk score, reason and redacted arguments.
Approvals are handled in chat without durable evidence.
Approval decisions become structured audit records connected to the tool call.
Business outcomes
Preserve speed
Teams avoid slowing every agent action while still controlling the actions that matter.
Reduce approval fatigue
Policy and risk scoring keep humans focused on sensitive, high-impact requests.
Make governance visible
Customer-facing teams can show how AI actions are reviewed, authorized and recorded.
Frequently asked questions
- Which AI agent actions need human approval?
- Production writes, deploys, payment actions, customer-data exports, secret changes and destructive shell commands usually deserve approval.
- Can approvals expire?
- Yes. AgentGate approval workflows are designed around expiring, one-time decisions with replay protection.
- Does approval replace policy?
- No. Approval is one possible policy outcome. The gateway still evaluates every request before deciding to allow, deny or route to review.
Let agents move fast without removing human judgment
Start a live workspace and test approval routing on one production-like MCP workflow.
Start a 14-day trial
Create a live workspace. No production credentials required.
Talk to enterprise
Plan a managed, private or self-hosted deployment.