Engineering security from first principles. I'm d0uble 3L, I write CybersecurityOS, where I break down secure-by-design architecture, DevSecOps, cloud security, and emerging-tech risk into practical frameworks for engineers, leaders, and teams. Weekly perspectives, clarity over complexity.
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We've covered a lot of AI-and-security stories recently: AI agents "going rogue" in a UK cybersecurity test, AI-generated patches failing about half the time, an AI notetaker that let attackers eavesdrop on government and corporate calls, funding pouring into AI-native security startups. Read individually, they're just news. Read together, they point to something worth talking straight about: what AI is actually doing to the entry-level security job. The take: AI isn't erasing the junior role. It's erasing the junior tasks.The common fear is "AI will take entry-level jobs." I don't think that's quite right. What's actually happening is narrower and, honestly, more disruptive: AI is absorbing the repetitive, high-volume work that used to be how juniors learned the job — first-pass alert triage, log correlation, basic patch review, initial phishing report screening. That work isn't disappearing because the job is disappearing. It's disappearing because a model can do the first pass faster. The problem is that busywork was never just busywork. It was how you built pattern recognition. Every SOC analyst who's good at spotting a real incident got good by triaging hundreds of false positives first. If AI removes that rep, the skill still has to get built — it just doesn't get built the old way anymore. Which raises the actual barHere's the uncomfortable part: fewer entry-level reps doesn't mean a lower bar to get hired. It means the bar shifts to something AI can't do yet — judgment. Someone has to catch the AI-generated patch that fails, question the AI agent that behaves unpredictably under test conditions, and notice when an "AI-powered" tool everyone trusts (like that notetaker) becomes the attack surface. That's not a junior task in the traditional sense. It's a junior person doing senior-shaped work, earlier than the old career ladder assumed. What this actually means for youIf you're trying to break in or move up right now, the move isn't to avoid AI or to treat it as a threat to route around. It's to get fluent enough with these tools to be the person who catches their mistakes — because right now, that skill has almost no supply and a fast-growing demand. Being AI-literate isn't a nice-to-have on a resume anymore. It's quickly becoming the actual job. Curious where you land on this — reply and tell me if you're seeing this shift already in your job search or your current role. |
Engineering security from first principles. I'm d0uble 3L, I write CybersecurityOS, where I break down secure-by-design architecture, DevSecOps, cloud security, and emerging-tech risk into practical frameworks for engineers, leaders, and teams. Weekly perspectives, clarity over complexity.