This datasheet examines whether organizations can build an exposure management program with AI and concludes that AI can solve only part of the problem. Large language models are strong at investigating individual findings, including reachability, blast radius, code ownership, fix recommendations, and ticket routing. Enterprise remediation, however, requires a data foundation AI alone cannot reliably create: deduplication, normalization, asset identity, organizational intelligence, persistent tracking, and auditable governance. Seemplicity says it reduces raw scanner output by 70–80% before agents run and preserves evidence across the remediation lifecycle. The document argues that recreating production-grade connectors, normalization, identity resolution, and governance requires substanti

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