Drop-in safety
for the agentic era.
Agent G intercepts every network call your AI makes. Block destructive actions, enforce human approval for risky operations, and log everything. Ship agents safely.
Every agent action passes through our policy layer. 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
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.
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 between your agent and the internet. No SDK changes required to your existing logic.
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-millisecond overhead
Our proxy adds less than 2ms to every request. Safety doesn't cost you latency.
Architecture
A zero-trust proxy for autonomous agents.
Your Agent
Standard HTTP requests
Agent G Proxy
Evaluates policies
External API
Approved execution
- < 2ms
- 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.”
Deploy with confidence.
Join the waitlist to be first when Agent G opens access.