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Taking Care Of Data In The Agentic Age

AI agents are shipping faster than governance can keep up. Here's what boards need to know about data risk.

Illustration of independent geometric mechanisms passing paper tasks along branching amber tracks.
AI agents and the coordination of work.AI illustration by KeyNews
The KeyNews take

Why it matters

As autonomous agents move into production, traditional data governance frameworks are breaking down. Leaders need to understand emerging blind spots in privacy, security, and agent oversight before regulatory enforcement arrives.

The key facts

9 to know
  1. Focus on data governance evolution for agentic systems

  2. Privacy and security gaps in agent deployment

  3. Agent oversight and trustworthiness as governance challenge

  4. Published June 2026 (recent/forward-looking)

  5. Forbes business perspective targeting executive audience

  6. Focus on data governance evolution for agentic AI systems

  7. Privacy and security blind spots identified as critical gaps

  8. Agent oversight and trust frameworks needed

  9. Published June 2026 — indicates forward-looking governance discussion

Go to the source

Forbes Innovationforbes.com

Publisher excerpt: AI data governance must evolve rapidly to address privacy, security blind spots, agent oversight, trust.
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