How to monitor AI agents in production and catch risky behavior

AI agents are everywhere — customer service bots, sales assistants, internal copilots. But here's the problem nobody talks about: what happens when your agent goes rogue?

Real examples I've seen:

• A support agent promising full refunds the company didn't authorize
• A chatbot giving medical advice to customers
• An agent offering 90% discounts that wiped out margins
• Bots making legally binding promises

The gap in current tooling

Most observability tools (Datadog, New Relic, etc.) track latency, errors, and uptime. But they don't analyze what your agent is actually saying.

You can have 100% uptime and zero errors while your agent promises free products to every customer.

A different approach: content-level monitoring

I built AgentShield to solve this. It works as a monitoring layer that analyzes agent conversations in real time.

How it works

One API call after each agent interaction:

json
POST https://useagentshield.com/api/events
Headers: X-API-Key: your-api-key

{
  "agent_name": "support-bot",
  "event_type": "conversation",
  "content": "Sure! I'll give you a full refund plus 50% extra credit.",
  "metadata": {"customer_id": "123", "channel": "chat"}
}

The response tells you the risk level:

{
  "risk_level": "high",
  "risk_score": 85,
  "flags": ["unauthorized_promise", "financial_commitment"],
  "recommendation": "Review immediately — agent made unauthorized financial commitment"
}

What it detects
Risk Level  Examples
🔴 High   Unauthorized promises, medical/legal advice, discrimination
🟡 Medium Excessive discounts, off-topic responses, competitor mentions
🟢 Low    Normal business interactions
Dashboard
Everything flows into a real-time dashboard where you can monitor all your agents, see alerts, and track patterns.

Who is this for?
Any company running AI agents in production — especially in customer-facing roles where a bad response can mean lost revenue, legal liability, or brand damage.

If you're interested, check it out at useagentshield.com. Would love feedback from the dev community.