Strip Sensitive Files So AI Never Sees the Private Parts
AI News & Strategy Daily with Nate B. JonesShow Notes
What do you do when AI could help with a document—but the document is too sensitive to upload?
Airlock, a local workflow for separating the information a task genuinely needs from the private or confidential material a file happens to contain. I walk through protected terms, default-hide review, rebuilding a clean copy instead of merely drawing redaction bars, and the judgment call at the center of safe AI work: start with the job, not the file.
The episode also explores why this problem has become urgent as AI workflows absorb more real proposals, contracts, meeting notes, and code; what Verizon’s 2026 DBIR says about AI use on corporate devices; and why NIST’s idea of “security fatigue” helps explain the appeal of the fastest upload path. Key takeaway: useful AI context and sensitive information are often bundled together, but they are not the same thing.
Hosted on Acast. See acast.com/privacy for more information.
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