Agent Immunization: A New Model for Building Trusted AI Agents

The riskiest thing agents do all day isn’t writing code; it’s “shopping”. Every minute, they reach out to the internet for a package, a plugin, or an MCP server and consume them with no verification or guarantee of what’s inside. Most of the industry is trying to make agents “shop” safely from the outside by …

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Frontier AI Application Security: Every Second Counts

Somewhere in the last few months, the math of application security quietly broke. Anthropic’s Claude Mythos Preview didn’t just analyze code, it found a 27-year-old vulnerability in OpenBSD, a 16-year-old bug in FFmpeg, and a 17-year-old remote code execution flaw in FreeBSD, entirely on its own. Then it went further: it built working exploits for …

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The Secret Sauce of SLSA: DevGovOps at the Speed of Agentic AI

Software supply chain engineering has reached a critical inflection point. As autonomous AI coding agents transition from generating autocomplete suggestions to planning, writing, reviewing, and deploying entire software pipelines without humans in the loop, the connection between human intent and production binaries is fracturing. This shift has created a severe structural deficit across enterprise tech …

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Secure AI Workflows: The Identity and Access Management (IAM) Checklist

AI agents and LLMs are already building, analyzing, and deploying code across your software development lifecycle. As software supply chains become increasingly AI-driven, proactive security and access controls are your only path to success. To effectively govern authentication and permissions without sacrificing development speed, you must update your access management strategies. By securing the AI …