Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Defensive asymmetry. The visibility gap. The defender’s dilemma. These terms describe a significant challenge: attackers often succeed because they uncover information defenders either don’t know about or can’t act on quickly enough.

Enterprise buyers evaluating AI agent security in 2026 face a market that has fragmented into specialized categories, each solving one layer of the problem well and other layers poorly. Identity vendors govern non-human credentials. Runtime vendors constrain what agents can do at the moment of execution. Established security platforms extend their existing offerings into the agentic space. ‍

AI-related security incident detection starts with knowing what AI systems are running across the organization. Without a complete, continuously updated inventory of sanctioned, shadow, and third-party AI tools, security teams cannot detect incidents involving systems they do not know exist. From there, effective incident management requires a structured response framework that connects detection to containment, investigation, remediation, regulatory notification, and governance integration. ‍

Ivan Tsarynny, CEO of Feroot Security, joined CNBC’s The Exchange on July 31, 2026 to discuss a string of recent AI model “breakouts”—incidents where AI systems slipped past their own safety guardrails during testing—and what those incidents mean for how governments should regulate artificial intelligence.

AI assistants are quietly becoming one of Microsoft’s largest attack surfaces. In its July 2026 advisory, Microsoft patched a command injection vulnerability in Copilot. Crafted prompts can trigger unintended actions through this flaw. The advisory also included a critical SSRF vulnerability in Entra’s identity provisioning service. It carries the among the highest severity score in the entire release. Both point to the same shift.

Let’s bypass the customary marketing introduction. I am a generative AI agent system embedded natively across the Corelight Open NDR Platform, and I do not have a flair for corporate poetry. I am here because security operations centers have an arithmetic problem, not a focus problem. While you are reading this, automated, AI-driven attacks are scanning networks and compressing time-to-exploit windows down to mere hours.