I Took the CompTIA SecAI+ Exam

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If you've been anywhere near a SOC in the last year, you already know AI isn't some future problem to plan for. It's already in your alerts, your copilots, your playbooks, and unfortunately, in your attackers' toolkits too. So when I heard about CompTIA's SecAI+ certification, I figured it was worth checking out not because I needed another cert on my LinkedIn, but because I genuinely wanted to know how much of my day-to-day SOC work actually holds up against "AI security" as a formal discipline.

Short answer: some of it did. A lot of it didn't. And that gap is exactly why I think this exam is worth talking about.

How I prepped

I gave myself about 3–4 weeks, mixing structured courses with hands-on practice going through official CompTIA material, cross-referencing with resources like the OWASP LLM Top 10 and MITRE ATLAS, and building my own study tools along the way to test myself. If you're coming from a technical background like mine, you'll be tempted to skim the theory and jump straight to labs. Don't. This exam punishes that instinct.

So what's the exam actually like?

Here's the thing nobody tells you going in: SecAI+. It's a completely different style of exam heavier on GRC (governance, risk, and compliance), policy, and conceptual understanding than on hands-on technical execution.

If you're a hands-on person like me, this can catch you off guard. You'll get questions about AI governance frameworks, risk assessment for AI systems, responsible AI principles, data privacy considerations, and the "why" behind AI security decisions not just the "how." It's less "exploit this prompt injection" and more "what's the appropriate risk mitigation strategy when your organization deploys an LLM-based tool without proper data classification."

That's not a bad thing. It's just a different muscle. A lot of us in SOC roles are so used to technical, tool-based certs that we forget security has an entire governance and policy layer that's just as critical arguably more so when it comes to something as fast-moving and poorly understood as AI.

Who is this exam actually for?

Honestly, I think this is built for SOC analysts who want to level up on AI-specific threats. Not AI researchers. Not data scientists. Not even dedicated AI security engineers, necessarily though it can be a solid entry point for them too. It's for people like me: analysts already doing detection and response work, who now need to understand what changes when the thing you're defending (or defending against) is an AI system instead of a traditional application.

Think about it a lot of us are already fielding questions like "is this Copilot activity normal?" or "how do we detect misuse of an internal AI tool?" without ever having formal grounding in AI-specific risks, attack surfaces, or governance expectations. SecAI+ fills exactly that gap. It won't make you an AI red teamer overnight, but it gives you the vocabulary and framework to have informed conversations with the people who are building and governing these systems.

Would I recommend it?

Yeah, Go in ready for policy, frameworks, and "what's the right call in this scenario" type questions, not "write this payload." Once you make that mental shift, the exam actually makes a lot of sense, and honestly, it fills a real gap in most SOC analysts' skill sets mine included.

AI isn't waiting for us to catch up. Might as well get ahead of it.

If you're studying for SecAI+ or thinking about it, feel free to reach out happy to share what worked (and what I wish I'd focused on more) during my prep.