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Where AI Systems Leak Data: A Lifecycle Review of Real Exposure Paths

Summary by Praetorian
AI data exposure rarely looks like a breach. No alerts are triggered, no obvious failure occurs, and most of the time nothing appears to be wrong at all. Instead, sensitive information moves through retrieval, reasoning, and storage layers that were never designed to enforce trust boundaries.Most organizations evaluate AI systems by reviewing individual components in isolation, even though exposure rarely originates in a single model, tool, or c…
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Praetorian broke the news in on Wednesday, January 7, 2026.
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