Codenotary AgentMon 3
by Codenotary
Runtime security and observability for every AI agent running inside your enterprise
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.
At a Glance
- Category
- Governance & Security
- Pricing
- Contact for pricing
- Target Market
- CISOs, CIOs, CTOs, Security Engineers, Platform Engineering Teams, Compliance Teams
Key Features
- ✓Adaptive runtime security policies
Policies evolve continuously from customer-specific workflows, observed behavioral patterns and emerging threats instead of relying on static allow-lists.
- ✓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.
- ✓Immutable cryptographic audit trail
Every runtime decision is cryptographically recorded in Codenotary's tamper-proof ledger for compliance, investigation and forensic analysis.
- ✓Agent discovery and inventory
Identifies AI agents such as Cursor, Claude Code, Devin, OpenClaw and custom workers across environments in one unified dashboard.
- ✓Agent cost tracking
Tracks AI agent spending by agent and team with forecasting and waste identification.
- ✓OpenTelemetry-native integration
Ships telemetry to existing tooling including Slack, PagerDuty and SIEM platforms without proprietary lock-in.
Use Cases
- •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.
- •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.
- •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.
Ideal For
Best For
- ✓Securing coding assistants and autonomous software engineering agents at runtime
- ✓Producing tamper-proof audit trails of AI agent actions for compliance and forensics
- ✓Discovering shadow AI agents and tracking agent spend across engineering teams
Market Analysis
Pros
- ✓Behavioral detection survives prompt injection and obfuscation that defeat text-only filters
- ✓Tamper-proof audit trail is a strong fit for regulated industries
- ✓Available directly through AWS Marketplace, shortening procurement
Cons
- ✗No public pricing, so total cost requires a sales conversation
- ✗Vendor-reported scale and the 80% policy-maintenance figure are not independently verified
Pricing
Enterprise
Contact for pricing
- ✓Adaptive runtime security policies
- ✓Immutable audit ledger
- ✓Agent discovery and cost tracking
- ✓SIEM, Slack and PagerDuty export
- ✓AWS Marketplace deployment
Codenotary does not publish list pricing; AgentMon is available through the AWS Marketplace with a free trial.
Stay Ahead of the Curve
Weekly enterprise AI insights for technology leaders. No spam, no vendor pitches—unsubscribe anytime.
SubscribeRelated Products
Cyabra Coordinated Activity Detection
An AI agent that investigates coordinated online manipulation and returns an evidence-backed verdict in under 30 seconds
Vorlon Guardian
Real-time runtime enforcement gateway that blocks unauthorized AI agent actions before the transaction completes
Cognizant Neuro AI Trust
Continuous AI governance and real-time assurance for every model, agent and application in the enterprise
Alterion Draco
Runtime control plane for enterprise AI agents — see, govern, and stop agent actions in real time