Real-time safety monitoring during agent execution is more effective and efficient than post-hoc auditing—catching risky actions before they happen and routing verification intelligently reduces security breaches by 61% while cutting computational costs by 78%.
FinHarness is a safety system for AI agents handling financial transactions that monitors requests in real-time rather than after the fact. It catches risky actions mid-process by checking user intent and each tool call, then routes complex decisions to either a fast or thorough AI judge based on risk level.