DeepKeep for AI Agents vs DTEX AI Security: Side-by-Side Comparison (2026)

DeepKeep for AI Agents

Enterprise and mid-market security teams deploying autonomous AI agents need DeepKeep for AI Agents because it's the only platform that enforces real-time policy on agent behavior before damage happens, not after logs are analyzed. The tool covers all five NIST CSF 2.0 functions from asset inventory through incident prevention, with particular strength in continuous monitoring and adverse event analysis of MCP server interactions that other security stacks simply ignore. Skip this if your agents are isolated in sandbox environments or you're still in pilot phase; DeepKeep assumes agents are already in production making decisions that affect your systems and data.

DTEX AI Security

Mid-market and enterprise security teams drowning in shadow AI deployments need DTEX AI Security to stop data leaks before they happen; it's the only tool that actually monitors what your employees are feeding to ChatGPT and Claude, then blocks the risky stuff in real time. The platform covers both asset discovery and continuous monitoring across your GenAI stack with integrations to Microsoft, CrowdStrike, and Splunk already in place, so you're not bolting on another orphaned tool. Skip this if you're looking for a preventative approach to GenAI governance before adoption happens; DTEX assumes shadow AI already exists and you need to detect it.