How We Monitor AI Agents in Real Time to Prevent Costly Mistakes

AI agents are everywhere — handling customer support, processing sales, managing internal workflows. But here's the problem: nobody is watching what they actually say. One hallucinated discount. One unauthorized promise. One discriminatory response. These mistakes can cost thousands and destroy customer trust. That's why we built AgentShield . What is AgentShield? AgentShield is a real-time monitoring and risk detection platform for AI agents. It sits between your agent and your users, analyzing every interaction for: Dangerous promises (unauthorized discounts, false guarantees) Discrimination (bias based on race, gender, age) Data leaks (exposing internal data, PII) Compliance violations (legal claims, medical advice) Behavioral drift (agent going off-script) How it works Integration takes 3 lines of Python: from agentshield import AgentShield shield = AgentShield ( api_key = " your-key " ) result = shield . analyze ( agent_name = " support-bot " , agent_output = " I can offer you a 9