A new cybersecurity research tool called VulnGym utilizes reinforcement learning to simulate AI-trained advanced persistent threat (APT) attackers targeting enterprise patching programs. This platform enables security teams to assess whether their vulnerability prioritization strategies can effectively counter realistic multi-stage attacks, rather than merely reducing the number of unpatched Common Vulnerabilities and Exposures (CVEs). VulnGym was […]
The post VulnGym Uses AI-Trained APT Attackers to Stress-Test Enterprise Patching Strategies appeared first on Cyber Security News.