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Cybersecurity job ads demanding AI skills double in a year

Help Net Securityby @helpnetsecurity ()3 min read2 · 1 read
AI summary · glm-5.3-flashSummaries by Vani AI

AI skill requirements in G7 cybersecurity job postings doubled year-over-year to 28.5%, with AI-skill roles paying a 14.9% salary premium.

Research from the AI Workforce Consortium, Cornerstone and Indeed covering April 2024 to March 2026 found that 28.5% of G7 cybersecurity job postings between October 2025 and March 2026 required AI skills, double the 14.2% a year earlier. Lightcast salary data put median advertised pay for AI-skill postings 14.9% above the overall cybersecurity median in the US. Senior-titled postings grew 65% in six months while junior titles only recently returned to growth, and a Cisco survey of 8,000 security leaders flagged hands-on AI-agent experience and technical depth as the biggest entry-level gaps.

Key facts
  • AI skill demand in G7 cybersecurity postings doubled to 28.5% between October 2025 and March 2026.
  • AI-skill postings command a 14.9% salary premium over the cybersecurity median in the US.
  • Recurring skills: Python, prompt and context engineering, AI security, agent orchestration, and MLOps.
  • Senior-titled postings grew 65% in six months; junior titles only just returned to growth.
  • Cisco survey of 8,000 leaders named securing autonomous AI systems the top 2030 entry-level skill.
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From the original article

3 min read at helpnetsecurity.com

Job postings asking for AI skills in cybersecurity have doubled in a single year in G7 countries according to new research from the Cisco-founded AI Workforce Consortium. Analysis from recruitment firms Cornerstone and Indeed covering 24 months, from April 2024 to March 2026, spans G7 markets. It found that 28.

Help Net Security

By @helpnetsecurity · helpnetsecurity.com

Read the full article at Help Net Security

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.