『Privacy and AI: How to Protect What You Have Built Before You Open the Door』のカバーアート

Privacy and AI: How to Protect What You Have Built Before You Open the Door

Privacy and AI: How to Protect What You Have Built Before You Open the Door

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You think you know your business data. Names, emails, purchase history, all accounted for. Then you actually go look, and the picture changes. Records live in a CRM. More sit in email threads nobody archived. PDFs sit in a shared folder nobody has opened in years, and phone numbers get duplicated across systems that never talk to each other.

This episode walks through why privacy is a readiness problem, not a legal one, and why it has to be settled before any AI project starts. Dr. Mike breaks down what dark data actually is, walks through a real client example where a security gap surfaced before AI ever entered the conversation, and lays out the steps for building a data inventory you can actually use to decide what AI is allowed to touch.

A ten-person business is just as attractive a target as a much larger one, and most small business owners have never stopped to ask where their own data actually lives.

KEY TAKEAWAYS

Dark data is data that exists, you know it exists, but it is in a format that cannot be searched easily. It is not clutter, it is exposure.

The digital twin pillar of AI readiness means building an accurate picture of what data exists and where it lives, and that picture is the gate nothing moves through until you know what is on the other side.

A real service business found a backdoor in its web-based CRM that let outside parties download full client records, and it was only found because the business stopped and asked how its data was actually protected right now.

Closing a security gap protects against two threats at once: outside intrusion and unauthorized movement of data by AI. Same gap, two different threats, close it once.

A ten-person business is just as attractive to someone after data as a much larger company, sometimes more so, because the guardrails were never built in the first place.

Where to start: build a data inventory that includes your dark data, and label each area usable, off-limits, or read-only and contained.

Have a question for Dr. Mike? Send it to mdonaldson@thotosai.com or visit thotosai.com — your question may become a future episode. You can also take the free AI Readiness assessment to see where your business scores https://thotosai.com/assessment

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