Protect user and workforce identities
By combining available sensory data from users and devices, our Continuous MFA solution eliminates passwords and secures identities.
Behavioral Biometrics
The way a user interacts, clicks, swipes and taps devices and applications creates a digital signature that’s as unique as their individuality.
Adaptive Intelligence
Our solutions use a combination of soft and hard biometric factors that are unique to the user, creating a passwordless experience.
FIDO Certified
Our advanced machine learning algorithms dynamically adapt and execute locally on sensor based devices, protecting user privacy.
Continuous Authentication
Zighra is a security solution that combines the power of AI, behavioral biometrics, sensor analytics and environmental intelligence to reduce or eliminate the need for passwords.
With Zighra, you know exactly when you are interacting with your user and when you are not, down to the very second and help secure the organization and users against remote attacks, phishing attacks, and other credential threat vectors. Businesses can eliminate credentials-based vulnerabilities and keep users secure and productive, wherever they work.
Key Features
Zighra’s unique, defense-grade and patented technologies deliver continuous authentication for users.
Task-based Authentication
Users are asked to perform a specific action as an authenticator to determine whether the user or a bot is trying to use the device, such as holding the phone and swiping across the screen.
Security Intelligence
From the unique way the user types, swipes and taps, to the hand they prefer to hold their device in, Zighra builds a unique, real-time behavioral model for the user.
Transaction Risk Assessment
Zighra uses the power of machine learning and behavioral biometrics to ensure the identity of the user on the device to assess transaction risk.
Proof of Presence
Zighra combines the strength of AI, behavioral biometrics, sensor analytics and network intelligence to actively authenticate the identity of the on-device user.
User-Device Fingerprinting
Zighra uses rich sensor and contextual information to quickly and reliably identify the device involved in the transaction.
Insights and Resources
FEATURED INSIGHT
As Artificial Intelligence is becoming a mainstream and easily available commercial technology, both organizations and criminals are trying to take full advantage of it. In particular, there are predictions by cyber security experts that going forward, the world will witness many AI-powered cyber attacks1. This mandates the development of more sophisticated cyber using...
MOST POPULAR
The cryptocurrency frenzy that began earlier this year has drawn much attention to blockchain technology and its decentralized structure. As demonstrated by breaches from MyHeritage to Saks and Lord & Taylor in the first six months of 2018, unsecure centralized servers for apps, websites and the like act as easy targets for hackers looking to access sensitive information (i.e. passwords, in... Continue Reading
In a digital environment where most data is siloed, there is no real incentive to share it. As a result, corporations are hoarding tons of consumer data (i.e. Google, Facebook, Alibaba, Baidu). Currently, artificial intelligence (AI) platforms help to concentrate power in the hands of those few organizations who are able to source and process large amounts of data.
As sensors are embedded... Continue Reading
New research reveals that retailers could lose nearly $71 billion in the next five years on transactions, such as online or mobile, where the card is not present. PINs, passwords and even fingerprints are no longer a sufficient means of securing private information or authenticating users. More layers of information are required while maintaining an easy user interface. Behavioral is one... Continue Reading
See Zighra in action.