DTEX adds AI Risk Management to track how agents and employees use AI
Behavioral intelligence security company DTEX Systems introduced an expanded AI Risk Management product designed to monitor how both employees and autonomous AI agents use generative AI tools across the enterprise. The product addresses a gap in existing security tools: they can log what AI systems do, but cannot judge whether that activity aligns with intended use.
As copilots and AI agents gain access to corporate data and workflows, the distinction matters. DTEX's product reads intent behind the activity, flagging behavior that deviates from expected patterns for both humans and machines.
What the product monitors
The system discovers sanctioned and unsanctioned AI use across users, endpoints and workflows. It identifies shadow AI and embedded copilots in real time, maintains inventories of approved tools and classifies the risk of unknown ones.
At a granular level, it monitors prompts, responses and data movement to catch leakage of source code, intellectual property and other sensitive data. The product tracks what autonomous agents were instructed to do, how they carried out tasks and the sequence of actions across systems.
By correlating prompts, behavioral baselines and agent actions over time, DTEX said it can distinguish routine experimentation from risky or malicious behavior. In one early deployment, the company identified an autonomous agent exposing sensitive data while operating within its intended workflow and permissions-before the exposure became a breach.
Autonomous agents for security teams
DTEX added two autonomous security agents to act on findings. Triage Guardian automates investigation workflows and runs independent reviewer agents to validate findings and reduce false positives. Threat Hunter lets analysts launch investigations in natural language, then correlates findings and surfaces unknown threats without manual intervention.
Early deployments saved more than 40 hours per month per analyst, according to the company.
Background
DTEX, founded in 2000, raised $50 million from Alphabet's growth fund CapitalG in 2024. The company combines insider risk management, data loss prevention, user behavior analytics and user activity monitoring on a single platform.
AI Risk Management is available in private preview, with broader availability expected next quarter.
For management professionals overseeing AI adoption, understanding how to monitor AI agent behavior and employee use of generative AI tools is becoming essential. Resources like AI for Management and AI for Executives & Strategy provide context on enterprise AI governance and risk management strategy.
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