SecureAuth
announces that the United States Patent and Trademark Office (USPTO)
granted the company four groundbreaking methods for authenticating
users' claimed identities for frictionless user access using automated risk-based control behavioral modeling. Capabilities derived from these patents are included in SecureAuth's core platform and mobile authentication products.
The
USPTO issued U.S. Patent No. 11,101,993, entitled "Authentication and
Authorization Through Derived Behavioral Credentials Using Secured
Paired Communication Devices" to the company on August 24, 2021 and U.S.
Patent No. 11,133,929 entitled, "System and Method of Biobehavioral
Derived Credentials Identification" on September 28, 2021. The methods
disclosed in these patents allow for detecting Biobehavioral® derived
credentials to provide identification for use in access management to
ensure secure access to a logical or physical asset.
A
Biobehavioral® derived credential is one that is drawn from a
combination of human biological features and behavioral activities. It
is used to provide proof of identity by calculating a unique and
recognizable signature that serves as the secure key and identifier.
SecureAuth created a method for artificial Intelligence to learn and
exploit the unique behaviors of users as a new form of credential to
create a behavioral based key. The derived key is a dynamic, time-based
key used at the time of access to authenticate an identity. This system
allows for a frictionless authentication process as well as the ability
to predict a user's digital behavior and patterns and take preemptive
action to prevent fraud.
The
USPTO also issued U.S. Patent No. 11,005,839, entitled "System &
Method to Identify Abnormalities to Continuously Measure Transaction
Risk" on May 11, 2021. The methods disclosed in this patent include
capturing the behavioral and contextual factors of a user interacting
with a claimed identity's associated devices and calculating a dynamic
level of assurance (DLOA) as the confidence score and comparing it to a
threshold risk score to determine the authenticity of aimed identity.
The company invented a method for creating and using a DLOA to
constantly re-grade an identity's level of trust in real time. The DLOA
can change depending on the level of risk associated with a transaction.
The benefits of these methods include reducing difficulties in gaining
access to secure systems and/or facilities (i.e., "friction") for
legitimate users, elevating trust in platform exchange and injecting
preventive flows and measures when encountering potential threats.
"The
traditional password-based paradigm must be transcended. Digital
authentication must be re-conceptualized beyond a simplistic ‘in' vs.
‘out' binary decision made in isolation. As we continue to innovate
across new behavioral modeling techniques, SecureAuth delivers enhanced
identity protection and ensures access is only granted and maintained
for the true identity," said Shahrokh Shahidzadeh, Chief Technology
Officer, SecureAuth. "This game-changing technology uses machine
learning to learn and leverage individual behaviors to increase
assurance levels and security."
In
addition, the USPTO issued U.S. Patent No. 11,252, 573 entitled "System
and Method for Rapid Check-In and Inheriting Trust Using A Mobile
Device" to the company on February 15, 2022. The system disclosed in
this patent allows for rapid access or check-in when arriving at a
secure facility by inheriting derived trust from a user's mobile device
and behavioral modeling. The system allows an identity to be
continuously proven based on both the user's digital behavior and
biometric attributes.
The system disclosed herein prevents fraud, removes friction, improves workflow and allows for "touchless" authentication.
As a leader in the industry, SecureAuth is a powerful innovator with 47 issued patents across identity and access management, adaptive authentication, passwordless authorization and ID proofing.