Google offers Gemini 3.5 Flash Cyber, an AI model specifically designed for automated vulnerability detection and remediation, through a limited-access pilot program.
A security vulnerability in AWS Kiro allowed manipulation of IDE configuration and remote code execution through hidden content on websites without an approval mechanism.
Companies must implement NIS2, EU AI Act and business continuity in parallel — a requirement profile that demands systematic competency building in compliance and IT security teams.
Zero-Trust verification of user identity and device trustworthiness reduces the attack surface on critical infrastructure that exploits stolen or compromised accounts.
AI-generated code contains an average of 15 vulnerabilities per codebase, but the security risk is determined more by the integrated framework than by the AI model used.
Attackers often need only hours to reverse-engineer a published patch into a working exploit – faster patching processes alone do not provide adequate protection.
