Every time I write a vulnerability assessment, AI detectors flag it. I think it’s because the language in Cyber Security is so standardized with CVE IDs and technical jargon. Has anyone found a way to write professional reports that don't trigger these false positives?
3 answers
Security reporting is a nightmare for AI detectors because we use industry-standard frameworks like MITRE ATT&CK. The algorithms see these repeated phrases and assume a bot wrote them. One workaround I’ve found is to add a "Executive Summary" section that is written in a more conversational, narrative style. This balances out the highly technical, low-entropy sections of the report. Also, ensure you aren't using AI-based grammar checkers too heavily, as the "smoothing" effect they have on your prose can often be the exact thing that triggers a high AI probability score.
Are you including the code snippets and terminal outputs in the same scan, or are you just scanning the prose?
I've started adding a disclaimer about AI detection in my reports to manage stakeholder expectations from the start.
Disclaimers are essential now. It shifts the conversation from "did you use AI?" to "how reliable is the tool checking for it?"
You should always exclude code blocks! Detectors aren't designed to read syntax, and the repetitive nature of scripts will almost always result in a false flag. I once saw a perfectly human-written Python script get flagged as 100% AI because the function names were "too logical" for the detector's training data.