SAN FRANCISCO — April 2, 2019 — Okta, Inc. (NASDAQ:OKTA), the leading independent provider of identity for the enterprise, today at Oktane19 announced new risk-based authentication that leverages machine learning to deliver greater security, ease of use, and automated detection and response to identity-based attacks. Risk-based authentication delivers panoramic insights into an enterprise’s employees, partners, and customers while also providing a means for transparent security controls. Through risk-based authentication, enterprises can automate security by implementing significantly stronger authentication techniques and remediation when the scenario calls for it, while simultaneously enabling a seamless login experience for users within their normal behaviors using Okta Adaptive Single Sign-On and Okta Adaptive Multi-factor Authentication.
“Technologies are often built with security as a barrier to usability or as an afterthought, but organizations shouldn’t have to choose between providing workforces and customers with the best experience and ensuring their information is secure,” said Todd McKinnon, Chief Executive Officer and co-founder of Okta. “Okta buil