Your team runs on AI now. redSec is the layer that catches sensitive data the moment it heads for a chatbot — and blocks it, redacts it, or logs it, on your terms.
Two of the three ship today. redDLP guards the endpoint, redAct makes redaction something you can call, and redEye is coming to keep watch over both.
Data loss prevention for the AI era.
An endpoint agent and a console. It inspects what your people paste into ChatGPT, Claude, Copilot and the rest — on the device, before it is sent — and stops the records, secrets and keys, while ordinary work goes straight through.
Redaction, as an API.
Point any text or document at redAct and get it back clean. Names, emails, SSNs, medical record numbers — found by a detection engine you tune with your own patterns and profiles, and it never keeps what it reads.
Agents that watch what your AI is doing.
redEye puts autonomous agents on your security surface. They watch the egress, the redactions, the sign-ins and the alerts across redSec, chase down what looks wrong, and bring you the story instead of the raw feed.
Four decisions shape everything redSec does. They are the reason security teams can hand AI to their people without holding their breath.
Prompt text is inspected on the endpoint before it is sent. It is never shipped to a cloud service to be scanned.
If protection cannot run, data does not move. The failure mode is a closed door, not a quiet bypass.
An audit record says what kind of data was found and how much — never the sensitive values themselves.
Every device, key and event is bound to a single organization and isolated from every other tenant.
Start with the console, or wire redaction straight into your own stack. Two products today, a third on the way.