Organizations deploying agents in production lack semantic verification tools capable of tracking machine-to-machine traffic, distinguishing legitimate agents from attackers, and confirming that agent actions match intended outcomes. Standard security infrastructure — WAFs, API gateways, session monitors — was not designed for agentic traffic patterns. This governance blind spot is delaying releases and leaving operators unable to confirm what their agents are actually doing.

Organizations cannot verify what their production agents are actually doing — existing WAFs and API gateways are blind to agentic traffic patterns, creating a governance gap that delays releases and leaves systems unauditable.

Platform engineering and security leads at companies running 5+ autonomous agents in production (fintech, healthtech, SaaS platforms with agentic features).

Enterprises already pay $50K-500K/yr for APM (Datadog, New Relic) and SIEM tools (Splunk, CrowdStrike) — agent observability is the obvious next budget line as agentic deployments hit production, and compliance teams are actively blocking releases without it.

MVP is an OpenTelemetry-compatible SDK that instruments agent-to-agent and agent-to-API calls with semantic intent tags, paired with a real-time dashboard that diffs intended vs. actual behavior and flags anomalous agent identity patterns — ship as a SaaS with a single-line integration.

APM/observability market is $20B+ and growing; the agent-specific slice is nascent but tracks the $5B+ AI security market, with every enterprise deploying agents becoming a buyer.