Exabeam Expands Agent Behavior Analytics to Secure AI Agents Across ChatGPT, Copilot and Gemini

Why It Matters

By providing visibility into autonomous AI agents, Exabeam helps enterprises prevent insider‑type threats that could bypass traditional security controls, safeguarding critical business processes. This capability addresses a rapidly emerging attack surface as AI assistants become integral to daily operations.

Key Takeaways

• Exabeam adds AI agent monitoring for ChatGPT, Copilot, Gemini
• Dynamic baselines track token usage, tool calls, web sessions
• Detects prompt injection, model manipulation, and shadow AI activity
• Monitors agent identities, privileges, and lifecycle changes automatically
• Aligns with OWASP Top 10 for Agentic AI framework

Pulse Analysis

The proliferation of AI‑driven assistants—from OpenAI’s ChatGPT to Microsoft’s Copilot and Google’s Gemini—has transformed them from simple chat tools into autonomous digital workers that can authenticate, access systems, and execute business processes. This evolution creates a blind spot for security teams: traditional monitoring focuses on human users, leaving AI agents unchecked. Without baseline behavior data, organizations struggle to differentiate legitimate AI activity from malicious misuse, opening the door to insider‑type threats and sophisticated credential abuse.

Exabeam’s expanded Agent Behavior Analytics tackles this gap by introducing five tightly integrated capabilities. AI behavior baselining builds dynamic profiles that capture request volumes, token consumption, tool invocations, and outbound traffic, flagging deviations in real time. A bolstered detection library—five times larger than its predecessor—identifies prompt injection, model manipulation, and shadow AI activities. Complementary modules monitor identity and privilege assignments, track the full lifecycle of agents, and map activity against the OWASP Top 10 for Agentic AI, delivering measurable coverage for a previously undefined risk category. These insights feed directly into Exabeam’s New‑Scale and LogRhythm platforms, automating response actions and reducing analyst overload.

For enterprises, the move signals a shift toward treating AI agents as first‑class entities in security architectures. As organizations embed AI deeper into workflows, the ability to detect subtle behavioral anomalies becomes a competitive differentiator, protecting intellectual property and operational continuity. Exabeam’s offering also pressures rivals to develop comparable telemetry and response capabilities, accelerating the broader market’s focus on AI‑centric threat detection. Companies that adopt such visibility early will be better positioned to mitigate emerging agentic attacks and maintain trust in their AI investments.