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AI made software development unrecognizable. Is cybersecurity next?

CSO Online ()8 min read5 · 1 read
AI summary · glm-5.3-flashSummaries by Vani AI

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.

Key facts
  • Microsoft research found developers using AI completed 26% more tasks than those who did not.
  • Gartner predicts 80% of organizations will shift to smaller, AI-augmented engineering teams by 2030.
  • Experts expect agents handling first-level SOC triage while humans retain escalation and oversight roles.
  • Vulnerability discovery in source code is largely solved, but absorption and autonomous production testing lag.
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From the original article

8 min read at csoonline.com

The rapid emergence of AI has radically changed a host of professions, with software engineering and development perhaps the most transformed of all pursuits. The usual “solitary ritual” of a developer writing code for hours is giving way to collaboration with an army of chatbots.

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.