In 2025, enterprises accelerated AI integration but neglected crucial data governance, leading to audits, breaches, and regulatory issues. Bedrock Security’s research revealed that most IT leaders lack visibility into the datasets powering AI, with Bruno Kurtic emphasizing the need for proactive governance. As companies rushed to deploy AI, they lost track of data sources, risking accountability and compliance with regulators. The introduction of a Data Bill of Materials (DBOM) is vital; it serves as a detailed log of data usage and processing, essential for responsible AI operation. Kurtic warns that treating governance as a mere formality invites risk. Tools like SIEMs may overlook critical data context, complicating governance efforts. With tightening regulations from bodies like the SEC, enterprises must ensure robust data tracking. In 2026, the priority must be operational governance—establishing systems for real-time data visibility, enabling compliance, and ensuring AI accountability.
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