When AI Knows Too Much: It's Time To Set Your Own Standard For Personal Data

InnovationWhen AI Knows Too Much: It's Time To Set Your Own Standard For Personal DataBySwapnil Chawande,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. | Membership (fee-based)May 07, 2026, 10:15am EDTSwapnil Chawande is a Cybersecurity Leader at PG&E. gettyThe companies building deeply personal AI will win or lose on one thing: whether users trust them enough to be honest about how their data is used and what is being shared.There is a moment every security leader eventually encounters when they realize the system being built knows something genuinely intimate about a person. Not just their preferences or purchase history, but how they think, how they speak under stress and the fears embedded in their word choices.That moment carries a weight that compliance checklists were never designed to hold.We have moved past AI as a productivity tool into an era of AI as a relationship, and how personal data is collected, stored and protected is no longer a legal footnote. It is the product.The Gap Between What AI Learns And What Users UnderstandAI-native applications have introduced something traditional security frameworks weren't built for: the intimacy of the data itself. Health AI knows not just your resting heart rate, but your anxiety patterns. Financial AI maps not just your spending, but the fear behind it. Writing AI learns not just your vocabulary, but the insecurities buried in your revisions. Each holds something that, in the wrong hands, wouldn't just be a breach. It would be a betrayal.The gap between what AI infers and what users understand is widening, and closing it is not a marketing problem. It is a foundational engineering and ethical responsibility.What I've Seen In The FieldAcross large-scale operational engagements, the most persistent failure wasn't technical—it was conceptual. Strong perimeter cont...