As enterprises increasingly rely on AI-driven tools, Exabeam has announced a major expansion of its Agent Behavior Analytics (ABA) platform to improve visibility and security across agentic environments. With this update, the company is addressing a growing challenge organizations often lack direct insight into how employees and AI agents interact with tools like OpenAI ChatGPT, Microsoft Copilot, and Google Gemini.

As AI agents evolve beyond simple chatbots into autonomous digital workers, organizations face increasing risks related to misuse, data exposure, and insider threats. Therefore, the expanded ABA capabilities enable enterprises to monitor key behaviors such as user queries, shared data, interaction frequency, and access locations. As a result, security teams can establish behavioral baselines, detect anomalies, and investigate suspicious activities more effectively.

“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.”

Moreover, the platform now integrates telemetry from leading AI services directly into Exabeam’s threat detection, investigation, and response (TDIR) workflows. This integration transforms agentic tools into valuable sources of behavioral intelligence, enabling organizations to proactively identify and mitigate risks across 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.”

To address the evolving threat landscape, Exabeam has introduced several new capabilities that work together to provide comprehensive coverage of the agentic attack surface. The platform now builds dynamic behavior profiles for users and AI agents, tracking patterns such as request volumes, token usage, and system interactions. Consequently, it can flag anomalies like sudden spikes in API calls or unusual activity before they escalate into serious incidents.

In addition, the solution enhances detection of prompt injection, model manipulation, and tool exploitation through an expanded detection library. At the same time, identity and privilege monitoring ensures that AI agents operate within defined access controls, detecting unusual role assignments or privilege escalations. Furthermore, lifecycle monitoring provides full visibility into the creation, modification, and usage of AI agents, enabling organizations to close governance gaps that previously left agent activity untracked.

Importantly, the platform also aligns with the OWASP Top 10 for Agentic AI, offering structured coverage for a rapidly emerging threat category. This alignment helps organizations benchmark their security posture and implement consistent controls for AI-driven environments.

“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.”

Additionally, these enhancements extend across the Exabeam New-Scale and LogRhythm platforms, improving usability for security teams. By streamlining workflows, reducing alert fatigue, and enabling faster threat detection, the platform helps organizations maintain strong security controls while continuing to scale AI adoption.

Ultimately, Exabeam’s latest expansion reflects a critical shift toward securing the growing ecosystem of AI agents. By delivering deep behavioral visibility and proactive threat detection, the company is enabling enterprises to confidently embrace agentic AI while maintaining control, accountability, and resilience.

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