Codenotary's AgentMon Platform Tracks 3M Daily AI Interactions, Uncovers 7% Anomaly Rate — Codenotary Inc.

Event summary

Codenotary's AgentMon platform now monitors over 3 million AI agent interactions daily across enterprise environments.
Approximately 7% of interactions (210,000 daily) trigger security, compliance, or operational anomalies.
Most anomalies stem from unsafe AI behavior within legitimate workflows, not traditional malware or external attacks.
AgentMon identifies risks like data exposure, unauthorized actions, and compliance violations in real time.
Codenotary positions AgentMon as foundational infrastructure for AI runtime governance.

The big picture

Codenotary's milestone highlights the emerging gap between traditional cybersecurity tools and the unique risks posed by autonomous AI systems. As enterprises deploy AI across operational workflows, runtime governance is becoming a critical infrastructure layer. The 7% anomaly rate underscores the material risks of unmonitored AI behavior, positioning AgentMon as a potential differentiator in the AI security market.

What we're watching

Governance Dynamics: How enterprises will adapt governance frameworks to address AI runtime risks as adoption scales.
Regulatory Headwinds: Whether compliance policies will evolve to mandate AI runtime observability in critical industries.
Market Differentiation: The pace at which Codenotary can establish AgentMon as the de facto standard for AI runtime monitoring.