AI Agent Security Monitor

As AI agents become more powerful, businesses worry about what they're doing and whether they're leaking sensitive data. Build a desktop app that lets users monitor, audit, and approve AI agent actions in real-time while keeping secrets safe. Target AI teams and enterprises running autonomous agents.

Agent observability is a genuine pain point right now — enterprises are deploying autonomous LLM agents faster than their security teams can audit them, and high-profile incidents around prompt injection and credential leakage are driving real budget allocation toward this problem. Datadog and Dynatrace are extending into AI observability, and startups like Arize and Weights & Biases cover model monitoring, but real-time action approval and secrets governance for agentic workflows has no clear incumbent yet. The $5k–25k/mo revenue band is plausible for a focused enterprise tool if even a handful of mid-size companies sign on, though it likely requires annual contracts and a serious sales motion rather than self-serve. The biggest risk is timing: the agent security space is moving fast enough that a well-funded player like Datadog or a dedicated security vendor absorbs this capability before a small team can establish a defensible foothold.