Codenotary, leaders in assuring safe and secure use of AI, today announced AgentMon 3, the latest generation of its enterprise AI security platform, introducing adaptive runtime security policies. These continuously evolve as AI agents operate across an organization by learning from customer-specific workflows, observed behavioral patterns, and newly emerging threats. The company also announced that AgentMon is now available through AWS Marketplace, making enterprise deployment significantly easier for organizations already operating on Amazon Web Services.
AgentMon 3 introduces adaptive runtime security policies that evolve with AI agent behavior.
Platform protects 5M+ AI agent interactions daily across enterprise environments.
Available now through AWS Marketplace for simplified enterprise deployment.
Adaptive policies cut manual policy maintenance by up to 80%.
Every security decision is cryptographically recorded in tamper-proof ledger.
Supports coding assistants, autonomous agents, orchestration frameworks, and multi-agent architectures.
AgentMon 3 redefines AI runtime security with an adaptive behavioral model built for autonomous AI agents. Every action an AI agent performs continuously shapes a live behavioral baseline, allowing organizations to distinguish normal operations from risky or anomalous behavior in real time. Unlike conventional software, AI agents evolve constantly through new prompts, model upgrades, tool integrations, memory expansion, and workflow changes. Static security rules cannot keep pace. AgentMon replaces manual policy writing with dynamically generated, self-refining security policies based on how each organization actually uses AI.
Moshe Bar, CEO and co-founder of Codenotary, stated: "As organizations rapidly deploy coding assistants, autonomous software engineering agents, business automation platforms, AI-powered customer support systems, and custom orchestration frameworks, traditional security models based on static allow-lists and manually maintained policies are proving increasingly inadequate. AgentMon 3 continuously learns from millions of real-world agent interactions while adapting to each customer's environment and incorporating intelligence from newly emerging threats."
AgentMon eliminates much of the manual rule-tuning required by traditional security tools and cuts policy maintenance by up to 80%. Every security decision is evaluated with deep context, including agent identity, permissions, historical patterns, data sensitivity, requested resources, prior human approvals, and live threat intelligence. This context-aware approach reduces false positives while improving detection of sophisticated AI-driven attacks. AgentMon also correlates intent with impact, basing detection on observed file access, network activity, credential use, process execution, and system connections rather than the agent's own self-report.
All runtime decisions made by AgentMon 3 are cryptographically recorded in Codenotary's immutable tamper-proof ledger, creating a verifiable audit trail for compliance, investigations, and forensic analysis. AgentMon 3 supports enterprise AI environments spanning coding assistants, autonomous software engineering agents, internal AI systems, orchestration frameworks, cloud-native services, and distributed multi-agent architectures.
About Codenotary
Used by hundreds of customers worldwide – including the world's leading banks, governments, and defense organizations – Codenotary delivers technology that enables secure and trusted agentic networks in the modern organization.
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