Defense in Depth Data Governance in the Age of AI
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Oct 2, 2025 In this discussion, Ash Hunt, VP of Strategy at Cyera and a data security expert, tackles the fast-evolving landscape of data governance amid AI's rise. He highlights the critical issue of access creep and how traditional governance often feels inadequate. The conversation uncovers the shift toward adaptive, metadata-driven controls and data storytelling as essential tools for managing integrity challenges from AI-generated outputs. Business pressures surrounding data supply chains and the balance between centralized and decentralized governance models are also explored.
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AI Exposes Legacy Data Mess
- AI accelerates and exposes existing data sprawl, making messy legacy estates more dangerous.
- Greenfield organizations face fewer issues but most companies must remediate decades of uncontrolled data.
Cull Unnecessary Data To Reduce Risk
- Stop hoarding data; classify and delete what you don't need to reduce attack surface and sprawl.
- Prioritize retention only where legally or operationally required to limit needless exposure.
Combine AI Detection With Human Policy Tuning
- Use AI to summarize and surface problem areas, then have humans tune policies and context based on those signals.
- Rely on humans for policy scope, threat context, and judgment while automating detection and classification.