Give your AI agents
a human safety net
Before an agent executes a sensitive action, SilentAuth blocks it, notifies a human, and waits for explicit approval. No SDK. One API call. Full audit trail.
# Before executing a sensitive action, declare an intentresp = requests.post( "https://silentauth.ai/api/intents", headers={ "Authorization": f"Bearer {SECRET_KEY}", }, json={ "action": "delete_user_data", "source": "refund-agent-v1-abc12", "source_type": "ai_agent", "risk_tier": "critical", "parameters": {"user_id": user_id}, },)intent_id = resp.json()["id"]# → pending approvaldecision = resp.json()["decision"]# require_approval | auto_approve | auto_denySee it in action
Pick an agent action, simulate the authorization flow, and approve or deny it — just like your team would in production.
Select an agent action
Authorization pipeline
Select an action and click run to simulate the flow
Everything you need to secure agent actions
Purpose-built for AI agents and autonomous systems that need a safety layer before taking real-world actions.
Human-in-the-Loop Control
Wrap any agent action with a single API call. When risk is high, execution blocks until a human explicitly approves — preventing autonomous runaway actions.
Policy-Driven Automation
Define rules that auto-approve routine low-risk actions and auto-deny blocked patterns. Your agents move fast where it's safe and pause where it matters.
Cryptographic Permits
Approvals issue signed JWT tokens your backend can verify without a network call. Permits expire in 5 minutes — no replay, no forgery.
Real-Time Notifications
Approvers are notified instantly via dashboard, webhook, or email when a pending intent requires review. No polling, no delays.
Agent Status Enforcement
Register agents with unique fingerprints. Pause or revoke any agent from the dashboard — it's blocked instantly with no code changes. Last-seen timestamps update automatically.
Full Audit Trail
Every intent, decision, and permit is logged immutably. Know exactly who approved what, when, from what agent, and with what parameters.
How it works
Four steps from agent action to cryptographic permit — or a clean denial.
Register your agent and declare an intent
Register your agent in the dashboard to get a unique fingerprint. Then, before executing a sensitive action, make a single POST request with the fingerprint as the source field.
curl -X POST https://silentauth.ai/api/intents \
-H "Authorization: Bearer sk_your_secret_key" \
-H "Content-Type: application/json" \
-d '{
"action": "issue_refund",
"source_type": "ai_agent",
"source": "refund-agent-v1-abc12",
"risk_tier": "high",
"parameters": {
"customer_id": "cust_4821",
"amount": 50.00
}
}'{
"id": "a3f2c1b0-...",
"decision": "require_approval",
"data": {
"status": "pending",
"risk_tier": "high"
}
}Policy evaluated instantly
SilentAuth checks your configured policies before the intent is created. Matching rules resolve it immediately — no human needed for known-safe patterns.
- Match on action name (glob patterns like delete_* )
- Match on risk tier (low / medium / high / critical)
- Match on source type (ai_agent / devops / automation)
- Priority ordering — first match wins
- Auto-approve or auto-deny with immediate response
Human notified if required
If no policy auto-resolves the intent, it lands in your Execution Gate dashboard and fires configured webhooks to alert your team in real time.
- Dashboard shows full context: action, parameters, risk tier
- Webhook fires instantly to Slack, PagerDuty, or custom endpoint
- Approver sees who triggered it, from which agent, and with what args
- Critical-risk intents require typed 'CONFIRM' confirmation
Agent receives signed permit
On approval, a cryptographic JWT permit is issued and your agent — which has been polling — receives it and can proceed. On denial, it aborts cleanly.
# Python: poll until resolved
for _ in range(120): # 10 minute timeout
time.sleep(5)
result = requests.get(
"https://silentauth.ai/api/intents?status=approved",
headers={"Authorization": f"Bearer {SECRET_KEY}"},
).json()
for intent in result["data"]:
if intent["id"] == intent_id:
permit_token = intent["permit_token"]
# Proceed with the action!
return permit_tokenCommon use cases
Any autonomous action with real-world consequences becomes safer with an execution gate.
Payment & Refund Processing
Block AI agents from issuing refunds, charges, or transfers above defined thresholds without human sign-off.
Database Modifications
Require approval before agents delete rows, drop tables, or run bulk updates on production databases.
Production Deployments
Gate CI/CD pipeline deploys so no automated process can push to production without a human in the chain.
Secret & Key Rotation
Audit and gate all access to secrets management — API key rotations, certificate renewals, credential changes.
Mass Communication
Prevent agents from sending emails, Slack messages, or SMS blasts to large groups without review.
Infrastructure Changes
Gate Terraform applies, cloud resource creation, and network config changes that could affect uptime.
No SDK. Any language. One endpoint.
SilentAuth's agent integration is a plain REST API. If your language can make an HTTP request, it works. No package to install, no version management, no dependency conflicts.
Works with
Frequently asked questions
Everything you need to know about connecting agents to Execution Gates.
Your agents, under human control
Get started in minutes. Connect your first agent, send a test intent, and see the approval flow end-to-end — for free.