The use of automated tools and AI systems to simulate cyberattacks and identify security vulnerabilities in software and infrastructure without manual intervention.
An evaluation of various LLMs found that GPT-5.5 is highly effective at exploiting Broken Access Control vulnerabilities, though safety filters and high costs remain significant barriers for other models.
Cloudflare’s research with Mythos Preview demonstrates that while AI can autonomously chain exploits, effective defense requires specialized multi-agent harnesses and a focus on architectural security.
AISLE used autonomous AI analysis to discover and help patch 38 vulnerabilities in OpenEMR, establishing a new standard for proactive healthcare software security.
GPT-5.5 delivers a revolutionary increase in vulnerability detection and hacking efficiency, outperforming previous models and setting a new bar for AI in cybersecurity.
