All activity
Jairo Juniorleft a comment
Hey everyone! I'm Jairo, founder of AgentShield. Last year I saw a company lose $47,000 in a single weekend because their AI support agent started approving refunds it wasn't authorized to give. No one noticed until Monday. Every observability tool only tells you what happened AFTER the damage. Nobody predicts what's coming. So we built AgentShield with 3 features nobody else has: 1. Risk Score...
AgentShieldYour agent runs. You hope. We know — before execution.
AI agents are deployed everywhere but nobody knows what they'll cost or how much damage they could cause.
AgentShield predicts cost, scores risk, and estimates blast radius BEFORE execution.
- Risk Score: 0-1000 safety score per agent
- Cost Prediction: know the cost before spending a token
- Blast Radius: estimate max damage from permissions
- Real-time Detection: flags hallucinations and leaks
- Approval gates for high-risk actions
LangChain, CrewAI, OpenAI SDK. 3 lines of Python. Free tier
AgentShieldYour agent runs. You hope. We know — before execution.
Jairo Juniorleft a comment
Honestly? I trust AI agents about as much as I trust a new employee on their first day — they need supervision. The problem is most teams deploy agents with zero monitoring. I saw a company lose $47K in a weekend because their support agent started approving refunds it wasn't authorized to give. No one noticed until Monday. That's actually why I built AgentShield — it monitors every AI agent...
How much do you trust AI agents?
Jairo Juniorstarted a discussion
We built AgentShield because our AI agent cost us $47K in wrong refunds
Hey everyone! 👋 I'm Jairo, the founder of AgentShield. Last year I saw a company lose $47,000 in a single weekend because their AI support agent started approving refunds it wasn't authorized to give. No one noticed until Monday morning. That's when I realized: every tool in this space only shows you what happened AFTER the damage is done. Nobody predicts what's coming. So we built something...