Press
Codenotary’s press coverage and news releases

New AI runtime risks demand large-scale AI runtime telemetry
AI safety concerns are everywhere. The technology industry is claiming to be able to address the reality of the risks that do exist from the base-level data provence and infrastructure layer, from the agentic policy control layer, from the controlled agentic code execution layer and from the upper observability layer.

The Top 10 Security Issues When Your Workforce Uses Agentic AI
AI agents are rapidly moving from experimentation into daily enterprise operations. Employees now use agentic systems to write code, analyze financial data, summarize legal documents, automate workflows, manage infrastructure, and interact with customers. Unlike traditional AI assistants, agentic systems do not simply generate responses — they take actions, invoke tools, access systems, and increasingly operate autonomously.

Real-time Analytics News for the Week Ending May 9
Codenotary announced the release of immudb 1.11

Who’s monitoring the agents?
Multi-agent AI systems are live in production, but who is monitoring them? Discover the operational gaps in tracking autonomous agents.

Codenotary Tops 3M Daily AI Agent Interactions Monitored
AgentMon identifies approximately 210,000 daily security, compliance, operational anomalies across enterprise environments

How to Stop Blindly Trusting Your AI Agents: A Tutorial on Codenotary AgentMon
AI agents are running wild across engineering infrastructure. Whether your team is deploying custom LangChain workers, spawning Cursor loops, or running Claude Code, autonomous agents are actively making execution decisions on your systems.

Codenotary Launches Agentic Network Monitoring for Security, Performance and Cost Visibility
Agentic networks are growing explosively, and with that growth come entirely new categories of risk

Codenotary Launches the First Enterprise Agentic Network Monitoring for Security, Performance and Cost Visibility
AgentMon provides continuous insight into rapidly-growing agentic AI environments

Codenotary introduces AgentX for autonomous Linux infrastructure security
Codenotary has announced the availability of AgentX, an autonomous platform designed to manage, secure, and protect large-scale Linux infrastructure in the cloud or on-premises through coordinated networks of AI agents.

Codenotary Introduces First Autonomous Agentic Platform for Securing and Managing Linux Infrastructure and Securing Code
Multi-agent platform AgentX enables administrators to operate massive server fleets with autonomous protection, compliance reporting, governance, and decision-making.

Codenotary Unveils AI-Powered Security Platform to Bridge Critical Linux Skills Gap
SaaS platform secures Linux and applications, fixes configuration issues, and optimizes performance

Codenotary Previews AI Platform to Autonomously Detect and Remediate IT Issues
Excited to see our work featured on DevOps.com: a preview of our AI platform that autonomously detects and remediates IT issues. 🚀 Great step toward truly self-healing infrastructure.

The New Security Reality: When AI Accelerates Both Attack and Defense
AI is collapsing the time between vulnerability discovery and exploitation, and unless defense becomes autonomous and operates at machine speed, human-driven security workflows simply won’t keep up.

Codenotary Awarded U.S. Patent for Cryptographically Verifiable, Immutable Database Technology
Serves as foundation for company’s software supply chain security products

Codenotary’s Free SBOM Service Tackles the AI Software Supply Chain
Just because AI is writing your code doesn’t mean you can stop worrying about software bills of materials.

Codenotary Extends Free SBOM.sh Service to Examine AI Software Supply Chain
Improves visibility into data supporting AI applications to improve security and compliance

Codenotary Granted U.S. Patent for Breakthrough Cryptographic Proof Technology
Foundation of company’s large-scale software supply chain security products
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Our mission is to secure the pervasive use of AI across the modern enterprise through autonomous, agentic AI—protecting models, agents, data flows, and runtime interactions with a platform that delivers strong security outcomes while remaining simple to operate and requiring no specialized security expertise.