Zero to guardrails in five minutes.
Agent G is the last line of defense for AI agents. Whatever your stack, we sit on top: point your agent's traffic at our proxy and every action is checked, blocked, or held for human approval before it executes. No SDK. No rewrites.
Zero-trust outbound proxy & policy-as-code guardrails for AI agents. The risky ones stop for you.
Routine calls pass through on the left. High risk actions pause on the right for your approval. Approve or deny the pending request and watch it resolve in the stream.
- 01Auto-passwithin policy · logged
- 02Auto-holdoutside policy · blocked
- 03Escalate to humanhigh-risk · awaits approval →
ec2:TerminateInstances i-09f3destructive · production clusterPOST /v1/refunds amount=4200within policy · amount < $5kGET https://api.partner.dev/v2/feedrate-limit exceeded · 503 holdSELECT * FROM tickets LIMIT 50read-only · scoped tableWants to terminate a production EC2 instance.
destructive · production cluster
- action
- ec2:TerminateInstances
- target
- i-09f3 (prod-web-2)
- command
- ec2:TerminateInstances i-09f3
decisions are signed and logged · audit id #000000
Setup
If it makes a network call, we govern it.
Agent G does not care what your infrastructure looks like. LangGraph, Claude Code, OpenAI SDK, MCP tools, a homegrown agent: anything that speaks HTTP is covered the moment you route it through us.
- 01Point your agent's HTTP client at the Agent G proxy
- 02Drop in a starter policy (YAML, version-controlled)
- 03Watch the decision stream. You're governed.
From signup to first governed request in minutes, not sprints.
The problem
Agents can do anything. Most teams have no idea what they’re doing.
Modern AI agents call external APIs, write to databases, send emails, and execute code autonomously. There is no safety net. No audit trail. No way to stop them before damage is done. Every existing fix asks you to re-engineer your agents first. So guardrails wait on the roadmap while agents run in production.
When something goes wrong, and it will, you're left with logs that tell you nothing, and customers asking what happened.
- 01Agent deletes production databasecritical
- 02Agent wires $50k without approvalcritical
- 03Agent exposes PII to third-party APIhigh
- 04Agent sends 10,000 spam emailshigh
- 05Agent executes unreviewed code changesmedium
What it does
Trust, engineered.
We sit on top of whatever you already run, between your agents and the internet. Nothing about your agents changes. Everything about your exposure does.
Immutable audit log
Every API call, parameter, and response is recorded. Know exactly what your agent did, when, and why.
Deterministic blocking
Define strict boundaries. If an agent tries to drop a table or wire funds without permission, the request is severed.
Human-in-the-loop
Route sensitive actions to a Slack channel. Your engineers click 'Approve' and execution continues.
Network-level proxy
Sits at the transport layer. No agent framework changes, no SDK rewrites. Point your agent's HTTP client at us.
Policy as code
Define guardrails in YAML or via the API. Version-control your safety rules alongside your application code.
Sub-20ms overhead
Our proxy adds less than 20ms to every request. Safety doesn't cost you latency.
Architecture
A zero-trust proxy for autonomous agents.
Prompts can be argued with. Models can be manipulated. A severed network request cannot. That is why the last line of defense lives at the network, not in the prompt.
Your Agent
Standard HTTP requests
Agent G Proxy
Evaluates policies
External API
Approved execution
- < 20 ms
- added latency per request
- 100%
- of agent traffic intercepted
From the founders
“We watched a production agent delete critical customer records because nobody thought to add a rule against it. That incident took three engineers two days to recover from. Agent G exists so no one else has to go through that.”
Sleep better while your agents work.
Zero to guardrails in five minutes. Join the private beta.