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AI made software development unrecognizable. Is cybersecurity next?

Opinion piece argues AI-driven shifts that transformed software development—agent-run SOCs, autonomous triage—will soon reshape cybersecurity operations and staffing.

A CSO Online analysis notes Google Cloud research found 90% of developers already use AI, while a March 2026 Federal Reserve paper found coder employment growth fell roughly 3% since ChatGPT's arrival. Gartner predicts 80% of organizations will run smaller, AI-augmented engineering teams by 2030. Security leaders from Contrast Security, Menlo Security and the Cloud Security Alliance expect agent-run SOCs, machine-speed containment and abundant vulnerability discovery, but caution that absorption capacity and autonomous production-environment validation remain bottlenecks.

CSO Online · 1d agoIndustry

Mythos has made 2026 patching hell. It might make 2027 a breeze

Gartner analyst Craig Lawson argues AI bug-hunters like Anthropic's Mythos have audited major codebases so thoroughly that 2027 could see fewer severe vulnerabilities.

Speaking at Gartner's IT Symposium in Australia, research VP Craig Lawson said AI-driven bug hunting, exemplified by Anthropic's Mythos, is uncovering flaws at unprecedented scale, citing Microsoft shipping over 970 patches in one week and a recent series of CVEs in historically secure OpenBSD. He argued vendors are also using AI to find bugs before release, retiring technical debt and shrinking future zero-day avenues. Lawson predicts 2027 may be the first year with a net drop in vulnerability severity, if not aggregate counts. He also expects AI to enable near-continuous red-teaming and faster fixes, such as generating F5 iRule syntax for virtual patches via Gemini.

The Register · Security · 1d agoIndustry1