Codenotary AgentMon 3

Codenotary AgentMon 3 is an enterprise AI agent security platform that discovers, monitors and controls coding assistants and autonomous agents at runtime, built for security, platform and compliance teams. It replaces static allow-lists with adaptive policies that learn from each customer's observed agent behavior.

Codenotary announced AgentMon 3 on July 7-8, 2026 as the third generation of its enterprise AI agent security platform, adding adaptive runtime security policies that continuously evolve as agents operate across an organization. Rather than trusting an agent's self-reported intent, AgentMon judges behavior from what it actually observes at runtime — file access, network activity, credential use, process execution and system connections — which makes it resilient to prompt obfuscation, multilingual attacks and other evasion techniques that bypass text-only filters. The platform discovers agents such as Cursor, Claude Code, Devin, OpenClaw and custom internal workers in a single dashboard, flags runaway agents, reasoning loops, risky prompts and permission escalations, tracks spend by agent and team, and redacts secrets automatically. Every runtime decision is cryptographically recorded in Codenotary's immutable, tamper-proof ledger, producing a verifiable audit trail for compliance, investigations and forensics, and Codenotary says the adaptive policy model cuts policy maintenance effort by up to 80%. Codenotary states AgentMon observes, analyzes and secures more than 5 million AI agent interactions every day across enterprise customer environments. AgentMon 3 is available worldwide and through the AWS Marketplace, and is OpenTelemetry-native with exports to Slack, PagerDuty and SIEM platforms.

Category

Governance & Security

Pricing

Contact for pricing

Target Market

CISOs, CIOs, CTOs, Security Engineers, Platform Engineering Teams, Compliance Teams

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  Adaptive runtime security policies

  Policies evolve continuously from customer-specific workflows, observed behavioral patterns and emerging threats instead of relying on static allow-lists.

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  Behavior-based threat detection

  Detection is based on observed file access, network activity, credential use and process execution rather than the agent's own self-report, so it resists prompt obfuscation and evasion.

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  Immutable cryptographic audit trail

  Every runtime decision is cryptographically recorded in Codenotary's tamper-proof ledger for compliance, investigation and forensic analysis.

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  Agent discovery and inventory

  Identifies AI agents such as Cursor, Claude Code, Devin, OpenClaw and custom workers across environments in one unified dashboard.

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  Agent cost tracking

  Tracks AI agent spending by agent and team with forecasting and waste identification.

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  OpenTelemetry-native integration

  Ships telemetry to existing tooling including Slack, PagerDuty and SIEM platforms without proprietary lock-in.

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  Govern autonomous coding agents

  Monitor what coding assistants and software engineering agents actually touch in a repository or environment and block high-risk actions even when native safeguards are bypassed.

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  Prove AI agent compliance

  Give auditors a cryptographically verifiable record of which files an agent accessed, which commands it ran and which decisions were enforced.

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  Contain runaway multi-agent systems

  Detect reasoning loops, permission escalation and anomalous behavior in distributed multi-agent architectures before they cause damage or runaway cost.

Codenotary does not publish list pricing; AgentMon is available through the AWS Marketplace with a free trial.

This page was written from 2 sources, 1 on domains other than codenotary.com.

1. 1.helpnetsecurity.com — codenotary launches ai security platform that learns from ai
2. 2.codenotary.com — agentmonvendor