The new AI risk problem no one leader fully owns
Artificial intelligence is moving faster than most enterprise governance models were designed to support.
Organizations are rapidly embedding AI into customer operations, internal workflows, decision-making systems, software development, supply chains, analytics, and automation initiatives.
But while adoption accelerates quickly, this creates a situation where accountability is fragmented.
That gap is creating a new category of enterprise risk.
For years, cybersecurity leaders focused on protecting systems, managing threats, and securing data. Today, that already broad mandate is expanding: as AI becomes increasingly embedded across operational environments, CISOs are pulled into broader questions of trust, assurance, resilience, and executive accountability.
A recent best practices report from Forrester noted that “CISOs will be the trust and assurance authority for the business.”
This shift reflects a growing reality: enterprises are increasingly struggling to determine who owns AI risk as decisions become distributed across systems, business functions, and autonomous processes.
Governance Models Are Struggling to...
Copyright of this story solely belongs to techradar.com. To see the full text click HERE
