Exabeam has expanded its Agent Behaviour Analytics product to support OpenAI ChatGPT and Microsoft Copilot, adding to its existing visibility into Google Gemini.
The update is intended to give security teams more insight into how employees and AI agents interact with enterprise systems. Activity in those services is converted into telemetry that can feed Exabeam’s threat detection, investigation and response workflows.
As companies adopt generative AI assistants and more autonomous software agents across internal operations, cyber security teams are facing new questions around oversight, misuse and access controls. The announcement reflects a broader push by security vendors to track not only human users, but also non-human identities and machine-led activity inside corporate environments.
Steve Wilson, chief AI and product officer at Exabeam, said the shift from simple assistants to more autonomous tools changes the nature of security monitoring.
“AI agents are evolving from simple chatbots into autonomous digital workers. 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 behaviour and the ability to detect subtle deviations before they become material incidents,” Wilson said.
New controls
Exabeam can now build dynamic profiles for users and their AI agents by tracking request volumes, token usage, tool invocations, web sessions and outbound activity. The aim is to help security teams spot unusual patterns, such as sudden spikes in API calls or token consumption.
It has also expanded detection for prompt injection, model manipulation and tool exploitation. Exabeam said its detection library is now five times larger than the previous version and is designed to cover prompt manipulation and shadow AI activity at the point of entry.
Another part of the update focuses on identity and privilege monitoring, including detection of first-time role assignments, unexpected privilege escalation and unusual permission changes across AI platform roles, users and permissions.
Exabeam is also adding lifecycle monitoring for AI agents, including visibility into their creation, modification and use. According to the company, this allows security teams to treat first-agent-creation and invocation events as auditable signals and track the lifecycle of each agent operating in the environment.
The product has also been aligned with the OWASP Top 10 for Agentic AI, providing a benchmark for monitoring and governance in a category that is still taking shape.
Broader shift
Pete Harteveld, chief executive officer at Exabeam, linked the update to wider changes in how businesses are deploying AI.
“AI is rapidly reshaping how organisations operate, compete and grow, creating a new digital workforce that helps them move faster and at scale. As this transformation accelerates, leaders are compelled to understand how these systems operate inside the enterprise. Our expansion of Agent Behaviour 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,” Harteveld said.
The new functions also come with broader changes across Exabeam’s New-Scale and LogRhythm platforms. Those updates are intended to improve day-to-day work for administrators and security analysts through deeper visibility and more automated response processes.
Exabeam says it serves more than 3,000 enterprises worldwide. The company built its business around user and entity behaviour analytics and is now extending that approach to what it describes as the digital workforce.
A customer endorsement came from payroll and human capital management software provider Dayforce, whose cyber security leadership highlighted the challenge of monitoring human and autonomous activity at the same time.
“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 organisation – is transforming the risk landscape. 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 behaviour 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,” Reddy said.
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