Firm Recommends Full Data Inventory to Keep Pace With AI Advancements
Companies should fully inventory their dataflows in 2026 to comply with regulations and governance frameworks in an increasingly AI-driven world, Lowenstein Sandler privacy attorney Amy Mushahwar wrote in a post Friday.
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AI is embedded in products, workflow, analytics and automated systems, but there are “unresolved infrastructure governance problems” dating back to the 1990s, she wrote, recommending a checklist for board and leadership governance. The list should include verifying what data is collected, the source, where it flows, where it’s stored, what vendors have access to, and what AI models consume or generate the data. Accordingly, she recommended identifying who owns the data and automated outputs at every stage of the lifecycle and “who has authority to pause or override systems when risks emerge.”
“The organizations that earn trust in 2026 will not be the ones with the most advanced models,” she wrote. “They will be the ones that finally address the infrastructure governance problem they have been carrying since 1999, before data velocity forces the reckoning.”