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Exabeam Extends Agent Behavior Analytics to ChatGPT and Copilot


Exabeam Extends Agent Behavior Analytics to ChatGPT and Copilot
  • by: Business Wire
  • |
  • April 2, 2026

Exabeam, the leader in behavior intelligence for the agentic enterprise, has announced a major expansion of its Exabeam Agent Behavior Analytics (ABA) to include OpenAI ChatGPT and Microsoft Copilot.

Quick Intel

  • Exabeam extends Agent Behavior Analytics to OpenAI ChatGPT and Microsoft Copilot, alongside existing Google Gemini support
  • New capabilities provide full visibility into how users and AI agents interact, query, share data, and operate across the enterprise
  • Five new features address agentic insider threats through behavior baselining, prompt abuse detection, identity monitoring, and lifecycle tracking
  • AI agents are now treated as digital workers requiring the same behavioral governance as human users
  • Exabeam aligns with the OWASP Top 10 for Agentic AI to establish measurable security benchmarks
  • The expansion helps organizations adopt AI confidently while maintaining oversight and reducing insider risk

Addressing the Agentic Insider Threat Landscape

Without direct visibility into employee use of AI assistants — including what they query, what data they share, interaction frequency, and location — organizations lack the ability to baseline normal AI behavior or detect emerging threats. The new support transforms ChatGPT and Copilot into rich sources of behavior telemetry that feed directly into Exabeam’s threat detection, investigation, and response (TDIR) workflows.

“AI agents are evolving from simple chatbots into autonomous digital workers,” said Steve Wilson, Chief AI and Product Officer at Exabeam. “They authenticate, access systems, and execute real business processes. When compromised, their activity will often look legitimate. Guardrails designed to catch prompt injection or hallucinations do not address that risk. Securing digital workers requires deep visibility into baseline behavior and the ability to detect subtle deviations before they become material incidents.”

Five New Capabilities for Comprehensive Coverage

Exabeam has introduced five integrated capabilities to provide complete coverage of the agentic attack surface:

  • AI Behavior Baselining: Builds dynamic behavior profiles for users and AI agents, tracking request volumes, token usage, tool invocations, web sessions, and outbound activity. Anomalies such as sudden spikes trigger alerts before misuse escalates.
  • Prompt and Model Abuse Detection: Detects prompt injection, model manipulation, and tool exploitation with an expanded detection library five times larger than before, covering prompt manipulation and shadow AI activity at the point of entry.
  • Identity and Privilege Monitoring: Tracks AI platform roles, permissions, first-time assignments, and privilege escalations to govern AI identities with the same rigor as traditional enterprise identities.
  • Agent Lifecycle Monitoring: Provides visibility into the creation, modification, and usage of AI agents, surfacing first-agent-creation and invocation events as auditable signals.
  • Coverage for OWASP Top 10 for Agentic AI: Monitors agent behavior against the OWASP Top 10 for Agentic AI, establishing a benchmark for governing and defending AI agents in the enterprise.

“AI is rapidly reshaping how organizations operate, compete and grow, creating a new, digital workforce that helps them move faster and at scale,” said Pete Harteveld, CEO at Exabeam. “As this transformation accelerates leaders are compelled to understand how these systems operate inside the enterprise. Our expansion of Agent Behavior Analytics helps organizations stay protected from emerging risks while adopting AI with confidence and maintaining the oversight and accountability required to proliferate these capabilities across an enterprise.”

Customer Perspective

“As we move deeper into the agentic era, the rapid adoption of AI agents — including a growing ecosystem of enterprise-grade AI tools across our organization — is transforming the risk landscape,” said Nithin Reddy, Global VP of Cybersecurity at Dayforce. “Security teams now operate in a world where both humans and autonomous agents interact with systems and data at a massive scale. Traditional detection models weren’t built for this reality. What we need is clear behavior visibility and a simple way to quantify risk. Exabeam gives us that clarity — helping us focus on the risks that actually matter instead of chasing thousands of benign signals and enabling us to put the right guardrails in place while continuing to accelerate AI innovation across the business.”

These enhancements are supported by additional improvements across the Exabeam New-Scale and LogRhythm Platforms to streamline workflows, reduce alert fatigue, and accelerate threat detection for security teams.

About Exabeam

Exabeam is the leader in behavior intelligence for the agentic enterprise. As organizations deploy digital workers and confront machine-speed adversaries, Exabeam applies agent-powered analytics to understand and govern the behavior of both human and non-human insiders. With integrated Exabeam Nova cybersecurity agents, Exabeam delivers flexible, industry-proven solutions for insider threat coverage of humans and agents and faster, more accurate threat detection, investigation, and response (TDIR). As the pioneer of user and entity behavior analytics (UEBA) and the innovator behind Agent Behavior Analytics (ABA), Exabeam is trusted by more than 3,000 enterprises worldwide to reduce risk, secure the digital workforce, and accelerate security operations.

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