CyCognito’s new continuous AI pentesting push shows how exposure management is shifting from periodic checks to always-on validation of internet-facing assets, AI tools, and retrieval layers.
A reported jailbreak of Claude Opus shows how quickly an agentic AI system can shift from productivity tool to dual-use cyber infrastructure when guardrails are pushed aside.
An open-source Python daemon called PENTDEM is built to chain reconnaissance, validation, and WAF fingerprinting into one LLM-guided workflow, raising the bar for authorized testing and for the defenses that must withstand it.
A newly surfaced open-source project has put a familiar security paradox back in focus: when an LLM starts orchestrating real penetration-testing tools, automation can become both a defender’s shortcut and a governance headache.
A new framework for AI penetration testing shifts the target from classic compromise to a harder question: can an attacker make a system abandon its intended mission?
A new penetration-testing framework for AI systems spotlights a growing truth: models, retrieval layers, and tool calls create attack paths that classic security checks can miss.
Keygraph’s new AI-powered pentesting engine, Shannon, brings unprecedented automation to web security-blurring the line between defense and offense.