AI Finds Flaws — Cybersecurity Jobs Are Rising

Demand for cybersecurity staff has risen as AI tools produce more code and expose software flaws. Many organizations have found that AI can both generate vulnerable code and scan systems for weaknesses, which increases the workload of security teams. SANS researchers have found more than 2,500 active AI/ML security engineer postings on job platforms as of March 21, showing a new hiring category that was small three years ago.

Frontier models like Claude Mythos have revealed thousands of vulnerabilities in operating systems and web browsers, and some companies have limited access to the model while they study its risks. Since firms must patch flaws faster than before, they are investing in AI-powered defense systems and security testing at scale. However, hiring remains competitive; therefore employers often pay higher salaries for engineers with both software and security skills. Furthermore, reports show AI-driven development and third-party code have widened the exposure gap that security teams must manage.