DTEX adds AI Risk Management to track how agents and employees use AI
Behavioral intelligence security company DTEX Systems Inc. today introduced an expanded AI Risk Management product that reads the intent behind how employees and autonomous artificial intelligence agents use generative AI tools across the enterprise.
The release targets a gap DTEX argues most security tools have yet to close. As copilots, generative AI applications and AI agents gain access to corporate data, systems and workflows, conventional tools can log what those systems do but cannot judge whether the activity matches intent. DTEX is pitching AI Risk Management as a way to read that intent across both people and machines.
The product is designed to discover sanctioned and unsanctioned AI use across users, endpoints and workflows, covering browser, application and embedded AI activity. It flags shadow AI and embedded copilots in real time, builds inventories of approved tools and classifies the risk of unknown ones. It also monitors prompts, responses and data movement at a granular level to catch leakage of source code, intellectual property and other sensitive data.
A central claim is the ability to tell human and AI-driven actions apart. DTEX says the product delivers visibility into what it calls Computer Use AI, tracking what an agent was instructed to do, how it carried out tasks and the lineage of actions taken across systems. By correlating prompts, behavioral baselines and agent actions over time, the company says it can separate routine experimentation from risky or malicious behavior and detect agent-driven data exfiltration before it becomes a breach.
