Posts and short-form notes tagged AI & Governance. Tap "All" to remove the filter.
Mythos: Board Implications - What This Means Now The shift we are seeing with AI is not theoretical. It is already changing how organizations approach technology risk, investment, and resilience. Cyber risk is no longer just about prevention. It is becoming a speed and resilience problem. The time between vulnerability…
What Stood Out to Me at RSA" Spent time at RSA this past week, including ESAF, Cyber Council, and a number of side conversations. A lot of great discussion, but a few themes stayed with me. Agentic AI is moving fast. The conversation is no longer about what it can…
Culture Determines AI Outcomes" "Two organizations can deploy the same AI tool and get very different results." "Why?" "Because AI does not operate in a vacuum. It operates inside culture." "If a culture prioritizes speed over scrutiny, AI will amplify speed." "If a culture values discipline and oversight, AI will…
Agentic AI Is Stress Testing Identity and Access Management" "Last week I had a great discussion about agentic AI, and we were really just scratching the surface. I wanted to continue that conversation here because it is necessary as companies continue to move fast with the tech." "Traditional identity and…
We talk a lot about AI governance, controls, and oversight.
Agentic AI Has a Blind Spot" "Stumbled upon this article today while riding out the snowpocalypse in the northeast and getting ready for the football games." "We talk a lot about AI governance, controls, and oversight. But when AI agents act on our behalf, identity is where governance either holds…
Ai Is Changing How We Decide" "Ai is getting better at generating options. What it can’t do is decide what matters most to you." "I’ve noticed the hardest part for teams is not getting answers. It’s knowing which answers to act on, which to question, and which to ignore." "Good…
Ai is getting better at generating options. What it can’t do is decide what matters most to you. I’ve noticed the hardest part for teams is not getting answers.
AI Needs a Middleware Layer" "AI tools are everywhere, but most users do not want to pick models. They want outcomes." "What feels missing is a middleware layer that sits between users and models and routes the right task to the right capability, with speed, cost awareness, and trust built…
This may be the next set of solutions that gets real attention across the AI stack this year.