Securing Agentic AI: From Insight to Oversight – Netskope Triple-T
AI has evolved from passive insights to active decision-making—drafting emails, generating code, and executing tasks across enterprise systems. As AI agents grow more powerful, they also introduce unpredictability, expanding attack surfaces and compliance risks. In this session, Netskope shows how to move beyond simply enabling AI to securing it at every touchpoint. We’ll outline a practical blueprint to protect AI agents end-to-end across users, applications, and data.
Learn how to maintain visibility into agent behavior, apply advanced DLP and threat protection to reduce misuse, and build an AI security strategy that balances innovation with governance.
Steve Riley is a Field CTO at Netskope. Having worked at the intersection of cloud and security for pretty much as long as that’s been an actual topic, Steve offers that perspective to field and executive engagements and also supports long-term technology strategy and works with key industry influencers. A widely-renowned expert speaker, author, researcher, and analyst, Steve came to Netskope from Gartner, where for five years he maintained a collection of cloud security research that included the Magic Quadrant for Cloud Access Security Brokers and the Market Guide for Zero Trust Network Access. Before Gartner, Steve spent four years as Deputy CTO of Riverbed Technology and held various security strategy and technical program management roles at Amazon Web Services for two years and at Microsoft for eleven years. Steve’s interest in security began all the way back in 1995, when he convinced his then-employer that it would be a good idea to install a firewall on their brand new internet connection.
