Agents no longer just answer, they act.
Agentic AI systems take real actions with real credentials: they move money, delete records and send email. AvertGate sits in front of every tool call and decides before it runs.
Decision flow
Waiting for human approval
issue_refundamount: 2400- Tool is on the allow list
- Amount above the approval threshold
- Session history is clean
The risk is in the action, not the sentence.
Tools that protect the chat layer look at what the model says. With agents the damage comes from what the model does: a wrong refund, a deleted customer, a key that leaves the network.
Capture
Agent identity, session, tool and arguments are collected at one point on every call.
Decide
The policy allows, blocks or sends to human approval. Fast checks finish in milliseconds.
Record
The decision, its reason and rule id go into a chained audit log.
See it. Limit it. Prove it.
One session of a support agent.
Calls in the same session land in one record. Reads are free; money and external effects are controlled.
- Reads are free. Read-only tools such as lookup_order pass straight through.
- Writes are bounded. Small refunds are auto-approved; anything above the threshold goes to a human.
- Irreversible stays closed. Tools such as customer deletion are denied outright.
Overview
Every call in the live stream.
Take the rules out of code.
Allow, limit and approval rules per tool and argument live in a single YAML file. A change needs no redeploy.
- Deny by default. A tool that is not listed does not run.
- Argument limits. Fields such as amount, SQL and URL are bound to a rule.
- Human approval. Risky calls wait for approval in Slack.
Policy editor
The rule is written on one screen.
Every decision is recorded.
The decision, reason and rule id are linked with SHA-256; a record changed afterwards is detected.
- Reasoned decision. Every event carries the reason and rule id.
- Redacted arguments. Raw data never reaches the dashboard.
- Session trail. Calls in the same session are read together.
Session trails
Every session is traced end to end.
Overview
All agent traffic in one dashboard.
Frequently asked
What is agentic AI security?
It means governing the actions that tool-calling AI agents take: which tool they may run, with which arguments, on whose behalf, and what the result carries.
Do I need to change my agent code?
No. AvertGate sits on the tool path as an MCP proxy; the agent keeps calling the same tools.
How much latency does it add?
Deterministic checks run in under 2 ms. If semantic inspection is on it adds 50-100 ms; if a check errors, the call does not run.
Guarantees
Four fixed principles behind every decision.
- 3 decisionsEvery call ends in allow, block or human approval.
- Fail-closedIf a check errors, the call is not run.
- SHA-256 chainEvents are chained, so any change after the fact is noticed.
- Your data stays with youTool calls and results never leave your network.
Put a gate in front of your agents.
Every deployment starts with a demo and a POC on your own agents.