Neomia Pulse

Neomia Pulse tracks user behavior such as mouse movements, typing cadence, swipe patterns or device orientation, and compares against the statistically observed norms for “good” and “bad” behavior, and provides a risk assessment. It does not track content or what the user is looking at.

The platform uses machine learning to analyze unique data points generated by humans and their devices to automatically identify trusted users and flag suspicious activity.

Neomia Pulse is a behavioral platform that allows organizations to understand how users interact with devices to provide deeper and intelligent ways to mitigate risks, solving some of the most difficult security-based challenges:

Reinforced Multi-factor Authentication

Strong authentication requires at least two distinct authentication methods, usually in the form of credentials, followed by PIN sent by SMS or Email. But this approach will allow fraud if both are compromised.

When typing in credentials, Pulse will detect that the user is the correct user even before they receive a PIN. It works transparently to detect account theft in real time.

Fraud Detection

Online purchasing and booking platforms have generated new ways to operate for fraudsters. These modes of payment introduce risks that allow accounts to be generated on the fly, to pay online with stolen credit cards, or make purchases with having to create a account, all automated by a bot.

Pulse makes it possible to detect access to a platform, the creation of fraudulent accounts, and online payments through the use of bots, by analyzing the difference between data entry from a bot and a human operator.

Continuous Authentication

Continuous authentication involves examining a user’s behaviors in real time, such as how they type on their computer keyboard, use their mouse, or how they use a touch screen. This process continues transparently for the session, and can detect if the current user typing, is still the valid authenticated user. Continuous authentication can be used with location, and browser information, to further strengthen authentication.