Agenttic AI, Artificial Intelligence and Machine Learning, Events
Tanium CEO Dan Streetman talks AI, endpoint visibility, and platform strategy
Matthew J. Schwartz (euro infosec) •
March 24, 2026
Artificial intelligence is accelerating both the threat landscape and the operational environment beyond the capabilities of human teams. Organizations are under increasing pressure to move beyond scripted automation to systems that can predict, respond, and assess change in real time.
See also: How technical debt puts critical infrastructure at risk
Tanium CEO Dan Streetman said the solution is autonomous IT, a model in which the platform continuously learns from its behavior, reacts before it becomes exposed, and scales security operations in ways that are not possible with small teams.
This approach requires real-time endpoint data, not stale snapshots, Streetman said. “If you’re using stale data to automate, it’s not only ineffective, it’s dangerous. We’ve seen it happen at the exact moment agents started collaborating using stale data. They couldn’t act fast enough.”
In a video interview with Information Security Media Group at RSAC Conference 2026, Streetman also said:
- How autonomous IT differs from traditional automation and why continuous learning is essential.
- Risks that AI agents pose to identity management and endpoint control.
- Why several integrated strategic platforms will determine the future of IT operations and security.
Streetman leads Tanium in enabling autonomous IT, helping IT and security leaders improve resiliency and operational control. He has more than 25 years of executive experience with a focus on technology innovation, business growth, and helping organizations better manage risk, security, and complex digital environments.
