Inside Netskope: Leveraging UEBA to reign in AI Agents behavior (NAM, EMEA, LATAM)

Agentic AI now plans, decides, and acts with real access to enterprise systems. This makes autonomous agents a new kind of insider threat, prone to prompt injection, privilege escalation, and data exfiltration that traditional access controls can't fully catch. 

At Netskope, we close this gap by treating AI agents as "digital employees" with their own non-human identities. Join our internal security team as they share how we leverage User Entity Behavioral Analytics (UEBA) and a UCI-based confidence score to flag the moment an agent's behavior drifts from baseline.

Learn how to:

• Apply UEBA to build a behavioral fingerprint for an AI agent and detect when it's been compromised or gone rogue
• Recognize the risky agent behaviors UEBA flags (spikes in downloads/uploads, DLP policy violations, first-time access to new applications, and spikes in failed logins)
• Interpret the User Confidence Index (UCI) score to gauge an agent's risk level and take timely action
• Combine UEBA with traditional controls (access management, contextual DLP, and human-in-the-loop approvals) for defense in depth against agentic AI risk