· Codenotary Team
AgentMon Start 1.3.0 See what happened then see why
Explore AgentMon Start 1.3.0: clearer session views, prompt cache loss and background spend tracking, MCP server health, and more accurate model costs.
protect --distro linux --machines 25 --free
Start now· Codenotary Team
Explore AgentMon Start 1.3.0: clearer session views, prompt cache loss and background spend tracking, MCP server health, and more accurate model costs.
· Codenotary Team
See how AgentMon tracks AI agent costs, identifies spending on retries and idle sessions, and helps teams measure savings from specific fixes.
· Codenotary Team
See how AgentMon monitors AI agent tools and sessions, identifies failed calls, and helps engineering teams reduce retries and repeated work.
· Codenotary Team
Monitor AI agent costs, tool calls and security risks with AgentMon Start, a desktop app for developers and teams. Try three devices free for six months.
· Moshe
The rise of AI agents brings risks not from their actions but from unnoticed omissions. Discover the importance of observability in AI deployments for enterprise security.
· Moshe
Explore how SBOMs must evolve to address the challenges of AI-native software, focusing on data provenance, model lineage, and operational visibility for better governance.
· Dennis
AI agent cost monitoring with AgentMon: burn rate, oversized prompts, model routing, chargeback. Track LLM spend before it spirals into a finance incident.
· Dennis
Traditional APM misses what's unique to AI agents, reasoning chains, backtracks, tool errors. AI agent performance monitoring with AgentMon, done right.
· Dennis
Prompt injection, secret leaks, dangerous commands, MCP sprawl, five AI agent security risks and how AgentMon catches each one before production.
· Dennis
AI agent risk monitoring with AgentMon: score every agent's posture, surface shadow AI, and audit risky actions across your fleet from one Command Center.
· Dzmitry
AI agents can silently skip critical steps without errors or alerts, leading to degraded results and hidden risks. Learn how to detect these blind spots and why observability is essential for reliable agent workflows.
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