Behavioral Multi-Factor Authentication — Invisible MFA for your workForce & password-less transition

Congrats on the launch, team - and good luck!

Hello Product Hunters! I'm Jordan Blake, Product lead at BehavioSec. I’m very excited to announce the launch of our behavior-based, invisible Multi-Factor Authentication offerings. These new services are based on our pioneering behavioral biometrics platform which has been in production for well over a decade at some of the world's largest financial institutions, helping fight identity fraud challenges like Account Takeover and New Account Fraud. Our MFA offerings use simple-to-integrate SDKs for web, Android and iOS. The risk-based output is delivered via REST API as well as via plug-ins for popular IAM platforms. Our machine learning backend enables organizations to establish identity using existing behaviors, including keystroke, mouse, mobile device tracking and gesture capture to build an invisible authentication factor that helps deliver a better overall user experience. In a nutshell: Covers a range of needs • Free MFA offers 10k web authentications per month on our AWS SaaS backend • Workforce MFA delivers complete web and mobile coverage for $1/user/mo • Consumer MFA offers private deployment options and scales to millions of users Easy to integrate • Our SDK is designed for 60-minute integration into apps • REST API provides a risk-based score for decisioning engines & IAM platforms • Plugins for ForgeRock and Ping Identity are ready out-of-the-box Proven behavioral biometrics • Detect automated attacks, attempts to subvert location detection, social engineering and more! • Comprehensive signal collection includes keystrokes, gestures, mobile sensor data and device characteristics, backed by real-world tested machine learning algorithms that ensure high accuracy and a low Equal Error Rate. Strong Privacy • We do not rely on collecting PII. Private fields such as passwords are anonymized. • Behavioral data is transferred encrypted and deleted after processing. • User profile data is encrypted and not usable outside of the context in which it was collected. • Profiles can not be used to identify protected classes such as age, sex, race, religion, etc. We anticipate a world where establishing digital identities is a secure and truly friction-less experience for all involved. We believe that our new MFA offerings are a step toward that future. We’re just getting started on this journey, so we’re excited to have you try it out and get the community’s feedback. Feel free to ask me and the BehavioSec team anything below. We can't wait to hear what you think! -Jordan