Exeon.AgentGuard Monitors Autonomous AI Agent Activity
The new security tool tracks data flows and identifies shadow AI use without requiring additional agents on internal networks.
Updated on Oct. 27, 2026 in Artificial Intelligence
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Exeon Analytics has introduced Exeon.AgentGuard, a new security product designed to monitor the activity and data flows of autonomous AI agents. The software identifies both approved and shadow AI usage within an organization while detecting potential data leakage.
Why it matters
Organizations currently lack visibility into the specific ways autonomous AI agents interact with internal data. This tool addresses the growing security risk of unauthorized data transfers and privilege misuse by these systems.
The system monitors autonomous AI activity by leveraging existing internal data sources to detect deviations from established behavioral patterns. It identifies unauthorized data flows and privilege misuse without the need for additional software agents.
The players
Exeon Analytics
A developer of security software specializing in network monitoring and the detection of anomalous behavior within enterprise IT environments.
The details
Exeon.AgentGuard operates by analyzing current data streams to flag anomalies that suggest malicious activity or policy violations. It provides oversight of autonomous AI agents by tracking how they interact with enterprise systems, distinguishing between authorized usage and shadow AI—software or applications used by employees without IT approval. The tool specifically monitors for unauthorized data transfers and privilege abuse.
Timeline
October 27, 2026: Exeon Analytics introduced Exeon.AgentGuard.
October 27-29, 2026: Exeon showcases the tool at it-sa Expo&Congress in Nuremberg, Germany.
The Tech Race
The release of Exeon.AgentGuard follows the industry trend of shifting security focus from static applications to autonomous AI agents. It represents a specialized step in the competitive race to provide governance for AI-driven workflows that currently operate largely outside traditional visibility tools.
IT and security administrators can now deploy this tool to track AI agent behavior using existing infrastructure rather than installing new hardware or software agents. The product will be demonstrated live to the public for the first time during the it-sa Expo&Congress in late October 2026.
The takeaway
This tool highlights the shift toward monitoring autonomous agent behaviors to prevent data loss. Security teams should watch for technical performance benchmarks at the it-sa Expo&Congress to determine how effectively the software flags privilege abuse compared to existing SIEM solutions.
Further reading
Learn more about the evolving standards for governance in Artificial Intelligence.
Source note: This article includes information reported by AFP.
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Do you trust that organizations can adequately control and secure their internal autonomous AI agents?
