AI Security
Why Every CISO Needs a Head of AppSec in the Age of Vibecoding
AI-assisted development has fundamentally changed how software gets built, not just in speed but in shape and behavior. Code is generated, refined, stitched together, and deployed in rapid cycles that compress what ...
Frontier Model Is the Wrong Meter for Continuous Security
Why frontier model security is too costly to run as an always-on scanner ...
AI Security Incident Case: From Claude Code Sandbox Bypass to the Boundary Failure in the Age of AI Agents
Overview In early June 2026, the security community disclosed a number of AI-related security incidents, triggering a re-examination of the industry’s security boundaries for AI agent systems. The Anthropic Claude Code network ...
FreeBSoD: Leveraging Language Models to Find and Exploit Kernel Bugs (Part 1 of 2)
Overview Earlier this year, a team at Praetorian was building Constantine, our automated 0-day discovery engine. I wanted to find techniques worth folding into it, so on the side I started poking ...
973 MCP Packages, 71% Single-Maintainer: A Practitioner’s Guide to AI Developer Security
At a Glance AI security tooling adoption lags behind AI coding tool adoption by an order of magnitude. Download ratios: 10:1 on PyPI, 28:1 on npm. AI-generated code ships vulnerable at baseline. 45% failure ...
Why AI Can’t Verify Its Own Code and What That Means for Enterprise AppSec
AI-generated code security needs an independent verification layer ...
Guarding AI Agents: Boundaries and Safeguards
AI agents are useful, but they become risky when they can take action in real systems. In this episode, Tom Eston discusses recent reporting about attackers tricking Meta’s AI support chatbot into ...
When the Frontier Blinks: What the Mythos and Fable Controversy Reveals About AI Security
When Anthropic abruptly pulled Mythos 5 and Fable 5 from circulation, the move sent a jolt through the AI and cybersecurity communities. These were not minor point releases. They were widely regarded ...
The 2026 Guide to Post-Quantum AI Infrastructure Security: Securing MCP Deployments
Learn to secure MCP deployments against HNDL attacks and quantum threats. Future-proof your AI infrastructure with our 2026 guide on cryptographic agility ...
From Blueprints to Breaches: A Modern Playbook for Navigating Cyberthreats
Threat modeling is evolving with AI and ML, with emerging frameworks such as MAESTRO for Agentic AI and new tools that leverage GenAI for automated threat modeling. The future lies in human-AI ...
