Data Privacy Day 2026: AI governance, zero trust, and evolving threats

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VMblog Highlights SupportNinja on AI Governance and Data Privacy

Data privacy has become significantly more complex as artificial intelligence reshapes how organizations collect, process, and expose data. This VMblog Data Privacy Day 2026 roundup brings together expert perspectives on AI governance, zero trust security, identity protection, and the growing challenges of managing sensitive data in an AI-driven world.

A central theme across the article is that traditional approaches to privacy and security are no longer sufficient. As AI accelerates data usage and automation, organizations face increased risk from identity-based attacks, data sprawl, and limited visibility into how data moves across systems. Experts consistently emphasize that privacy now depends on continuous governance, real-time visibility, and stronger control over access, rather than static policies or perimeter-based defenses.

Another key insight is the shift toward identity as the primary attack surface. With attackers increasingly exploiting credentials, APIs, and AI-enabled workflows, organizations must adopt zero trust principles, enforce least-privilege access, and treat both human and machine identities as critical control points. At the same time, data minimization and governance are emerging as foundational strategies to reduce exposure and improve resilience.

SupportNinja CTO Ken Braatz reinforces one of the most important principles highlighted in the article: the safest data is the data you never store. His perspective underscores the growing importance of limiting the collection and retention of highly sensitive personal data, especially as AI systems expand access to information across environments. Organizations can still deliver high-quality customer experiences by using clean, connected, non-sensitive data, without increasing privacy risk.

To succeed in this evolving landscape, organizations must align AI governance, data privacy, and security strategies. This includes improving visibility into data flows, strengthening identity controls, reducing unnecessary data storage, and embedding privacy into system design. Companies that take a proactive, governance-first approach will be better positioned to reduce risk, maintain compliance, and build long-term trust in an increasingly complex threat environment.

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