Report: Most Security Pros Fear AI Job Loss

Cybersecurity jobs are supposed to be the safe ones. Attacks keep coming, budgets usually survive, and companies never seem to have enough defenders. But the new wrinkle is AI — and now a lot of the people doing the defending think the same technology helping them could also shrink their teams. That’s the headline from CyberEdge Group’s 2026 Cyberthreat Defense Report, released April 28. The survey covers 1,200 IT security professionals across 17 countries and 19 industries. The standout result is blunt: 80% of security pros think AI may eventually cost them jobs, even as employers race to hire people who can actually use AI well. (cyberedgegroup.com) ### Why are security workers nervous? Because AI is especially good at the parts of security work that used to soak up human hours. Think log review, alert triage, pattern matching, first-pass investigation, and routine response steps. If software can do more of that faster, companies start wondering whether they need the same number of entry-level analysts or generalists. CyberEdge’s report basically(cyberedgegroup.com)dents see job risk ahead. (cyberedgegroup.com) ### So is AI replacing people already? Not cleanly — and that’s the catch. The same report says lack of skilled personnel is still the top barrier to strong security. Security teams aren’t suddenly overstaffed. They’re short on the wrong mix of skills. What companies seem to want is fewer purely manual workflows and more people who can combine security judgment with AI tooling, automation, and data fluency. (cyberedgegroup.com) ### What does hiring look like now? Pretty aggressive, just pointed in a different direction. CyberEdge says 97% of hiring managers are actively seeking AI-skilled talent. That number matters more than the layoff fear by itself, because it shows the market isn’t simply shrinking. It’s being re-sorted. If your job is mostly repetitive detection work, the pressure rises. If you can tune AI systems, vali(cyberedgegroup.com) cases, demand looks stronger. (cyberedgegroup.com) ### Why does this hit cybersecurity first? Security already lives in a world of overload. Too many alerts. Too many dashboards. Too many false positives. AI slots neatly into that mess because it can summarize, classify, and prioritize at machine speed. That makes the field a natural test case for automation — like giving a very fast intern the first pass at every pile on your desk. But someone still (cyberedgegroup.com) what becomes an actual incident. That human layer doesn’t disappear. It just moves up the stack. (cyberedgegroup.com) ### What else did the report flag? The workforce story sits inside a broader threat story. CyberEdge says 81% of organizations experienced at least one cyberattack last year, 64% were hit by ransomware, and 55% of ransomware victims who paid actually paid the ransom. Even worse, 39% of those payers still failed to recover their data. So teams are being told to modernize for AI while still dealing with very old-school pain. (cyberedgegroup.com) ### Where is AI creating new security risk? Inside the AI systems themselves. CyberEdge says proprietary large language models are viewed as the hardest AI systems to secure. That makes sense — they can hold sensitive data, expose new attack surfaces, and sit inside business workflows before governance is mature. So security teams are getting squeezed from both sides: automate more, but also secure the new automation layer. (markets.financialcontent.com) ### What should workers take from this? The useful reading isn’t “cybersecurity is vanishing.” It’s “cybersecurity is splitting.” Some tasks will get cheaper and more automated. Some roles will narrow. But the people who learn AI-assis(markets.financialcontent.com)her. (cyberedgegroup.com) ### Bottom line? AI looks less like a pink slip for the whole field and more like a forced rewrite of what “security professional” means. The anxiety is real. But so is the demand — just for a different version of the job.