While you're in Las Vegas for Fal.Con, get a firsthand look at where data security is heading in the AI era.
Sit down with Yoav Regev, co-founder and CEO of Sentra, to compare notes on data sprawl, securing data for AI, and what a modern data security strategy actually looks like in practice.
Why Sentra
Sentra is the layer that AI has been running without.
Sentra is the data layer a successful AI rollout needs: continuous discovery, classification, hygiene, and access governance, at petabyte scale, inside your own environment.
Get your data AI ready.
Most AI programs are moving faster than the data layer underneath them. Three places that gap tends to show up first:
What AI can see — what your copilots and agents can reach today, what they can do with that access, and how to close the gap before it becomes an incident.
Continuous compliance — moving from point-in-time audit prep to a living inventory of regulated data, mapped to the frameworks you answer to.
DLP that earns its keep — making the controls you already own work, by giving them accurate data context instead of static regex and keyword rules.
