Directly See and Control
Data-in-Transit to
Build Better AI Agents
Data traceability and fine-grained control across AI agents, APIs, and RAG
that's deterministic and scalable to your entire infrastructure.
Good data used the wrong way is the same as bad data.
What if you could connect how you see your data, your policies for acceptable use and compliance, to control data the way AI sees it?
Agentic AI means unpredictable agents access data not users; prompts drive agent actions, not code.
What if you could identify every byte of data your AI touches, control each access to it based on the user your AI acts on behalf of, and monitor the effect of every prompt change?
Trust in AI begins by knowing you can ensure the confidentiality, integrity, and availability of the data AI uses.
What if you had a tool that found problems with no false alarms, analyzed how they happened in seconds, and automatically remediated them across prompts, code, and configurations?