DTEX Systems has launched an expanded AI Risk Management solution designed to track how employees and autonomous AI agents utilize generative AI tools, offering unprecedented insight into intent and risk across corporate environments.
- Tracks intent behind human and AI actions using generative AI tools
- Identifies shadow AI and manages AI-related risks in real time
- Includes autonomous agents to automate security investigations
What happened
DTEX Systems has unveiled an expanded AI Risk Management product that reads intent behind how employees and autonomous AI agents engage with generative AI across enterprises. The solution monitors AI activity at a granular level, covering browsers, applications, and embedded AI copilots to detect approved and unknown AI tools and workflows.
The product distinguishes between routine AI experimentation and potentially risky or malicious actions by correlating prompts, behavioral baselines, and agent activities over time. Early deployments have successfully identified data exposure risks caused by autonomous AI agents before incidents occurred, demonstrating the product's effectiveness at preempting data breaches.
Why it matters
As AI agents increasingly operate autonomously within corporate systems—accessing sensitive data and executing workflows—traditional security tools prove insufficient for understanding the intent behind these actions. DTEX’s solution fills this critical gap by integrating behavioral intelligence to flag risk behaviors and shadow AI in real time.
This enhanced visibility helps organizations protect intellectual property, source code, and other sensitive information from exfiltration or misuse. By distinguishing human-driven from AI-driven actions and providing continuous monitoring, companies can better manage insider risk and data loss in an increasingly complex AI-powered environment.
What to watch next
DTEX plans to make its AI Risk Management solution widely available next quarter following a private preview phase. Alongside monitoring capabilities, the company introduces autonomous security agents like Triage Guardian and Threat Hunter to automate investigations, reduce false positives, and enable natural language threat searches.
Operators and enterprise security teams will likely evaluate how this integrated approach affects their risk posture and analyst productivity, especially given DTEX’s claims of saving over 40 hours per analyst monthly. Adoption trends may also influence other security vendors to enhance AI intent detection and risk management functionalities.