AI skills are now a core requirement in cybersecurity hiring, new research shows Demand for AI expertise in…
Laurent H. — CEO & Founder CYBERR & HEELR
AI skills are now a core requirement in cybersecurity hiring, new research shows
Demand for AI expertise in cybersecurity job listings has roughly doubled over the past year across G7 countries, according to a new report backed by the Cisco-founded AI Workforce Consortium.
Drawing on two years of job-market data (April 2024 to March 2026) across G7 markets, the analysis found that nearly 29% of cybersecurity postings between October 2025 and March 2026 called for AI skills, up from about 14% during the same period the year before.
A recognizable "AI skill set" is emerging as standard for high-volume roles like security engineering, cloud security, and detection and response. The most frequently requested capabilities include Python, prompt and context engineering, AI security, agent orchestration, and machine learning operations. Pay data covering the same six-month window in the US showed postings requiring AI skills advertised salaries roughly 15% higher than the overall cybersecurity median.
Same titles, changing responsibilities
Security Engineer and Cybersecurity Engineer/Analyst remain the most common job titles in G7 markets, followed by SOC Analyst and Cloud Security Engineer.
Much of the repetitive work traditionally done by SOC analysts, triaging alerts, cross-referencing threat intel, running standardized workflows, is increasingly being handled by AI systems. A Cisco Distinguished Engineer quoted in the report's expert panel described the SOC analyst role as one of the fastest-changing jobs in the field, shifting from alert processing toward overseeing and validating what AI agents produce.
The report argues that while AI is closing in on or exceeding human performance in some areas, foundational domain knowledge remains non-negotiable: someone still needs to understand a packet capture to judge whether a machine's analysis of it makes sense. What's being added on top of that baseline is the ability to supervise agents, validate their output, and manage the exceptions automation surfaces.
Demand for skills like ethical reasoning and stakeholder engagement grew sharply year-over-year. When asked what will matter most for entry-level hires by 2030, security leaders most often pointed to the ability to secure autonomous AI systems, alongside strong technical fundamentals and a capacity for continuous learning.
A newer role, the AI forensics investigator, who examines failed or harmful AI systems by analyzing training data and prompt logs rather than disk images, barely existed a few years ago. Related job titles saw the fastest growth of any role tracked in the study, though the total volume of postings remains modest.
A tougher market for newcomers
Overall cybersecurity hiring demand across G7 economies grew faster in the most recent six-month period than in the one before it, and senior-level postings grew even more sharply. Junior-level postings, by contrast, swung from a slight decline to modest growth over the same stretch, though they still represent a much smaller slice of the market than senior roles.
A survey of 8,000 security leaders across 30 markets and 14 industries, conducted in May 2026, found the hardest-to-find qualities in entry-level candidates were hands-on AI agent experience, solid technical depth, and interpersonal/professional skills.
The report frames this as an "experience paradox": employers are increasingly expecting senior-level competencies even for roles formally labeled entry-level.
8 reactions · 5 comments
Comments
Edwin M.: Sure. "AI skills are now a core requirement in cybersecurity hiring"...but current employers DON'T want to pay for the requisite training to get their current security specialists upskilled. They DON'T want to pay competitive and meaningful salaries for everything that they DO want when looking at potential new hires. Anyone ever think about referring corporate managment to psychiatric specialists
Hervé M.: For sure it will help a lot , cybersecurity job is draining energy for faster than other if you don’t have proper discipline to manage the load … at that the same time , by knowing the AI trends , you need to prepare yourself to stay competitive on the market
Scott D.: I'm comfortable with it but I'm a consultant/contract handling cybersecurity and GRC projects. In that world, it is common to dynamically see requirements for roles change and for the focus to drift. Right now, we see a lot of "AI" in roles but the ones that are actually hiring are the very high level..."oh gee you have a PhD in data science" roles and some others that are cautious and low level s
Scott D.: Edwin M. That has always been the case with employers and won't change until the cost/benefit balance clearly shifts in their collective minds.
Danjuma A.: AI is definitely changing the game. The key will be knowing how to use it without losing the core cybersecurity skills needed to validate what it produces.