Tracking sensitive data across complex environments is challenging due to its distribution across cloud, on-premises, and hybrid systems. Experts suggest implementing an enterprisewide governance layer, standardizing data ownership and metadata, and centralizing digital identity management to improve visibility. Continuous monitoring, data classification, and attaching access controls directly to data objects are also crucial for enhancing security, compliance, and operational understanding of data movement and access. AI
IMPACT Enhanced data governance practices can improve the security and reliability of AI systems that rely on sensitive data.
RANK_REASON The article is a collection of expert opinions and advice on a technical topic, rather than a primary announcement or event.
- a1qa
- APGAR
- Bruno Billy
- Dzmitry Lubneuski
- Encompass Corporation
- EXL
- Forbes Technology Council
- Mahati Kumar
- Mayur Khandelwal
- Meta Platforms Inc.
- N3XUS
- Paul Kerslake
- Thales Group
- Todd Moore
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