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.
27
Jun
The End of Software Governance As We Know it

The End of Software Governance As We Know it

6 min read
27
Jun
Audit-Ready. But AI-Ready?

Audit-Ready. But AI-Ready?

5 min read
27
Jun
The Rise of the AI Software Supply Chain

The Rise of the AI Software Supply Chain

Organizations spent years securing software supply chains. AI is creating a new challenge: governing the systems that generate software itself. Every generated line of code inherits assumptions, decisions, and risks from sources nobody can fully trace.
5 min read
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