License to Govern: The Field Guide for AI Risk Management
About This Session
Every organization strives to build a James Bond security program. Sophisticated. Equipped. Ready for catch villains as soon as they break in.
The problem: today's threats don't break in. They already have a badge. They were credentialed by your own people, with good intentions, but without the knowledge or approval of the security team. Today’s threats look exactly like allies until they don’t.
Through real breach stories from Salesloft Drift, Vercel, and Klue, this session illustrates how AI adoption is reshaping third party risk. The organizations who invest now in modernizing their approach to risk management will be in a much different place in 18 months than those who don’t.
The problem: today's threats don't break in. They already have a badge. They were credentialed by your own people, with good intentions, but without the knowledge or approval of the security team. Today’s threats look exactly like allies until they don’t.
Through real breach stories from Salesloft Drift, Vercel, and Klue, this session illustrates how AI adoption is reshaping third party risk. The organizations who invest now in modernizing their approach to risk management will be in a much different place in 18 months than those who don’t.
Speaker
Patrick Dillon
CRO - Nudge Security
Patrick Dillon has spent 20+ years partnering with security executives to solve high-stakes challenges: reducing attack surface, protecting sensitive data, and enabling security teams with solutions that manage risk at scale. Prior to Nudge Security, Patrick served as CRO at Airlock Digital and before that held senior leadership roles at Saviynt, BeyondTrust, and Hewlett Packard Enterprise, advising organizations on solutions that strengthen identity and access controls and protect critical systems. At Nudge Security, Patrick continues that work by helping security leaders gain control of shadow AI and SaaS sprawl, improve governance, and build defensible, measurable security outcomes.