As enterprises rapidly adopt AI-driven automation, Codenotary has introduced AgentMon, a new platform designed to provide real-time monitoring for agentic networks. With this launch, the company aims to give organizations greater visibility into the security, performance, and cost of AI agents operating across complex enterprise environments.
As AI adoption accelerates, agentic systems semi-autonomous software agents that act on behalf of users and applications are becoming deeply embedded in business operations. Therefore, organizations are facing new challenges in managing and securing these distributed systems. According to Boston Consulting Group, the market for AI agents is expected to grow at a 45% CAGR over the next five years, further amplifying the need for robust monitoring and governance solutions.
To address this growing complexity, AgentMon delivers continuous, end-to-end visibility across agentic networks. It provides AI operations teams, security leaders, and compliance managers with a unified view of agent behavior, resource consumption, and adherence to defined policies. As a result, organizations can better understand how their AI systems function while maintaining control over risk and performance.
“Agentic networks are growing explosively, and with that growth come entirely new categories of risk,” said Dennis Zimmer, co-founder and chief technology officer, Codenotary. “Organizations are now asking critical questions: Are agents leaking sensitive data? How much are they costing us? Are they performing as expected? AgentMon brings clarity to these type questions, giving enterprises the visibility and control they need to confidently scale AI.”
Moreover, the platform is specifically built for enterprise AI operations and governance teams, enabling continuous monitoring of agent activity across multiple environments. It tracks operational health, analyzes communication paths between agents and services, and monitors token usage, model selection, and inference latency. In addition, AgentMon identifies security-relevant behaviors such as file access, secrets handling, and unusual data access patterns that may indicate leakage or policy violations.
By correlating token telemetry, behavioral baselines, and data lineage, the platform transforms previously opaque agent interactions into actionable intelligence. Consequently, organizations can manage agentic systems with the same level of precision as distributed computing environments, ensuring alignment with security, compliance, and cost objectives.
“Agents are incredibly powerful, enabling entirely new business use cases,” Zimmer added. “But without proper supervision, they can introduce significant risk. AgentMon acts as an always-on control plane, helping organizations understand what their agents are doing, what it costs, and whether they are staying within guardrails.”
Ultimately, the launch of AgentMon reflects a broader industry shift toward securing and governing AI at scale. By delivering continuous visibility and control, Codenotary is helping enterprises confidently adopt agentic AI while minimizing risks and optimizing operational efficiency.
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