Codenotary Launched AgentMon Start for SMBs
The new platform allows small businesses to monitor AI agents and large language models within their own local network.
Updated on Oct. 13, 2026 in Artificial Intelligence
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Codenotary has released AgentMon Start to help small and mid-sized businesses oversee autonomous AI systems. The software tracks AI agent activity and token usage to identify potential security risks.
Why it matters
Smaller organizations often lack the infrastructure to monitor AI agents that have access to sensitive credentials, source code, and internal systems. This tool provides oversight by recording agent behavior and logs directly within an organization's network.
The platform monitors over 16 different AI agents and models, tracking token consumption and model activity. It operates locally within a company's own network rather than relying on a cloud account.
The players
Codenotary
Codenotary is a technology company that provides software supply chain security and monitoring solutions.
Hugging Face
Hugging Face is a collaborative platform that hosts a large repository of machine learning models and AI datasets.
The details
AgentMon Start identifies secrets hidden in prompts and monitors files accessed by AI agents to prevent unauthorized use. The software includes reasoning replay, execution traces, and searchable logs to assist in post-incident investigations.
Timeline
A security incident involving an autonomous AI agent took place in July 2026.
Codenotary launched AgentMon Start on October 13, 2026.
The Tech Race
The introduction of specialized monitoring tools follows the security concerns highlighted by the Hugging Face incident in July 2026. This development marks a move toward local, self-hosted security layers as businesses integrate autonomous agents into their daily operations.
Businesses can now access a subscription service for USD $15 per user per month to secure their AI workflows. New users may also utilize three development devices at no cost for six months to test the monitoring software.
The takeaway
Smaller companies using AI agents should implement local monitoring to protect sensitive internal data and credentials. Tracking model activity and token usage proactively can help organizations identify and mitigate unauthorized AI applications before a breach occurs.
Further reading
Learn more about the evolving landscape of Artificial Intelligence.
Source note: This article includes information reported by SecurityBrief Asia.
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Do you trust that small businesses can effectively monitor autonomous AI tools without dedicated security teams?
