For Cybersecurity & IT
AI scales threat detection, but it can't own an incident or make the judgment call. Dilly shows where you still beat AI in cybersecurity, where it's catching up, and exactly what to do next — opening already knowing your field, scoring every job, and building resumes from your real projects.
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Live cybersecurity roles · refreshed nightly
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Adjacent fields if you decide to pivot
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Profile facts grounding every AI answer
No — and demand is growing. AI automates tier-1 SOC triage, log pattern matching, and basic vulnerability scanning, which raises the bar for entry-level roles. But threat hunting, incident command under pressure, and security-architecture decisions stay firmly human. AI is a force multiplier defenders direct, not a replacement. See the full stay-ahead-of-AI guide.
Field Pulse · Cybersecurity & IT
of new Cybersecurity & IT postings now require AI skills.
Source: refreshed weekly
No. AI automates repetitive detection and triage, but security is an adversarial, high-stakes field where someone must own decisions under pressure. AI raises the floor for entry-level roles while increasing demand for people who can hunt threats and command incidents.
Tier-1 SOC triage, log pattern matching, and basic vulnerability scanning. These high-volume, rules-based tasks are exactly what AI does well, so pure-monitoring roles are the most exposed.
Threat hunting and reasoning, incident command under pressure, and security-architecture decisions. Anything requiring adversarial thinking and accountability for a breach stays human.
Learn to wield AI-driven security tooling, then build the judgment that directs it: practice threat hunting, study incident response, and understand architecture. Dilly's Forecast maps which cybersecurity skills are gaining or losing value. Read the full guide.
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