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Behavioral Analytics

Data tells a story about a user’s behavior and habits, and about what you expect from that user. When this expectation isn’t met, it is flagged in real time.

How does it work?

It takes the data gathered from the device intelligence and the passive biometrics layers and translates it into a user behavioral profile. This profile is compared to past behavior from that account as well as from the entire NuData Trust Consortium. Behavioral analytics can answer critical questions including, is this account accessed from the expected browser and IP? Is the typing cadence too fast? Should we do something about it?

Also helps with:

  • Human-driven account takeover
  • Mass-scale attacks
  • Evolving attacks
  • Sophisticated attacks
  • Reduced user friction