The explosive growth of AI is placing unprecedented demands on data governance, and many organizations are falling behind. According to DBTA’s Best Practices Report on Data Governance and Security in the Age of AI, 62% of organizations lack the effective data governance needed for trustworthy AI. At the pace that AI is evolving, current controls simply won’t be able to keep up.
This report provides essential strategies to help data teams – from leaders and platform owners, to data governors and stewards – evolve their data governance and security practices for the AI era.
Inside, you’ll find:
- Why traditional, human-driven data governance models are ill-equipped for the scale and speed of AI, including the challenge of non-human identities (NHIs).
- The ongoing need for human oversight and intervention to verify, monitor, and guide the development and governance of AI systems.
- Essential questions to evaluate the risk associated with AI, including training data quality, dependencies, and third-party data management.
- How AI-powered governance tools can automate policy enforcement and streamline workflows to enable secure data access at scale.