Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Autonomous AI agents are running on enterprise endpoints right now, accessing files, processing sensitive data, and executing actions outside the visibility of most security programs. This is Part 1 of Cyberhaven's four-part AI Security product launch series. What this video covers: Most AI security tools were built for browsers and SaaS apps. They cannot see agents operating at the OS level, coding assistants running in IDEs and CLIs, or MCP servers executing in the background. Cyberhaven's AI Security platform was built to close that gap.

Security teams cannot govern what they cannot see. This is Part 2 of Cyberhaven's four-part AI Security product launch series, focused on Shadow AI Discovery and how Cyberhaven automatically inventories every AI app and agent running across your organization.

Visibility without enforcement is just an alert backlog. This is Part 4 of Cyberhaven's four-part AI Security product launch series, covering how Cyberhaven enforces risk-based controls at the data level, not the tool level, using Data Lineage as the foundation.

Knowing an AI tool exists is not the same as knowing what it did with your data. This is Part 3 of Cyberhaven's 4-part AI Security product launch series, covering Agentic AI Visibility and AI Risk IQ, Cyberhaven's evidence-based risk scoring system for every AI app and agent in your environment.

"Usually it's not a question of if the bad guys get in. It's a question of what happens when they do." Jay Wilson, CISO and CIO at Insurity, and Garrett Hamilton, CEO of Reach, joined Shubhangi Dua on The Security Strategist from EM360Tech to talk about why the controls you already own are where exposure quietly builds up. That's Jay's line, and one every security leader has lived. Defense in depth only holds if every inner layer is configured the way you think it is. The outer door gets the attention. The inner doors are where incidents actually get stopped, or don't.