In the contracting world, stability is a luxury. When a contract enters a recompete phase, you don’t wait around to see which way the wind blows; you get ready for whatever comes next. For me, that meant aggressively closing the gaps in my compliance toolkit—specifically around the Cybersecurity Maturity Model Certification (CMMC) and some of the more nuanced controls in NIST SP 800-53.
My strategy wasn’t just reading frameworks; it was interactive combat testing. Over the last few months, I’ve been running an ongoing, dual-platform simulation, flip-flopping between Claude and Gemini to act as my virtual assessment team. By leveraging both AI platforms, I’ve been able to generate complex, real-world auditing scenarios and rigorously identify my own weak areas. One platform might stress-test my evidence validation, while the other challenges my interpretation of a specific control. The flow between them has forced me to sharpen my technical fluency and truly master the controls I was less familiar with.
The Scoping Showdown
A prime example of this workflow happened during a recent CMMC scoping challenge I ran with Claude. We were mapping out asset categories, and I disagreed with the AI’s determination on a specific boundary constraint. I pushed back, confident in my approach, and we went back and forth for several rounds.
Instead of just hallucinating an agreement, the AI stood its ground, cited the scoping guidance, and laid out exactly whymy interpretation was flawed. When I went back to the source material, it clicked. That iterative argument did more for my understanding of CMMC boundary complexities than a week of passive reading ever could. It’s one thing to memorize a guide; it’s another to defend your position and uncover a blind spot in real-time.
A Masterclass for the Inexperienced
For professionals who don’t yet have a decade of deep compliance auditing under their belts, this medium isn’t just a shortcut—it’s an absolute necessity. The traditional barrier to entry in high-level cybersecurity compliance is the “chicken-and-egg” problem: you need experience to get the job, but you need the job to get the experience.
Using generative AI as a sparring partner fundamentally changes the game. It allows you to simulate years of complex, high-stakes auditing environments from your own desk. You can make mistakes, misunderstand scoping boundaries, and misinterpret controls in a zero-risk sandbox where the only consequence is getting smarter. If you aren’t actively using these tools to build your expertise, you are leaving your career readiness to chance.