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AI Governance

AI Governance examines how enterprises establish accountability, policies, controls, and oversight for the responsible and secure use of artificial intelligence. Coverage includes AI risk management, agentic AI, regulatory requirements, lifecycle governance, data, models, identity, authorization, human oversight, and organizational accountability—with a CISO focus on governing AI as it gains greater access, autonomy, and authority.
17
Jun
The Most Dangerous Sentence in Information Security? “That’s Not in Scope.”

The Most Dangerous Sentence in Information Security? “That’s Not in Scope.”

The most dangerous security gap is often not a vulnerability—it is an exclusion. Why ISMS scope is not documentation, but a governance decision that determines what an organization chooses to see, govern, and ultimately protect.
6 min read