Exabeam has announced an expansion of its Agent Behavior Analytics (ABA) product to add support for monitoring activity in OpenAI ChatGPT and Microsoft Copilot, as organisations seek better visibility into how AI assistants are being used inside enterprise environments.
The company said the additional integrations are intended to turn interactions with AI services into behavioural telemetry that can feed into threat detection, investigation and response workflows. Exabeam said it already supports visibility into Google Gemini.
“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 behaviour and the ability to detect subtle deviations before they become material incidents.”
Exabeam said the expanded capability is aimed at addressing insider threat and misuse scenarios involving AI assistants, including understanding what users query, what data they share, how frequently they interact and from where. The company argued that without such visibility, organisations cannot establish baselines for “normal” AI usage or investigate potential misuse.
“AI is rapidly reshaping how organisations 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.”
The company outlined five capabilities it said are part of the update: AI behaviour baselining; prompt and model abuse detection; identity and privilege monitoring; agent lifecycle monitoring; and monitoring aligned to the OWASP Top 10 for Agentic AI.
Dayforce Global VP of Cybersecurity Nithin Reddy said the growth of AI agents is changing the threat landscape for security teams. “Traditional detection models weren’t built for this reality. What we need is clear behaviour visibility and a simple way to quantify risk,” Reddy said.
Exabeam also said the new functions are accompanied by enhancements across its New-Scale and LogRhythm platforms, aimed at improving the day-to-day experience for administrators and analysts, including workflow and alerting improvements.
