We’re excited to announce the release of a free, unlimited Developer plan and updates to the Authentication API. A new one-call API significantly eases the integration process without sacrificing functionality.
The hype around AI is rapidly growing to transform the domain as one of the fastest evolving technology sectors. This infographic highlights several AI facts, every developer should know before changing their focus to machine learning or artificial intelligence.
The ForgeRock-TypingDNA partnership aims to deliver user-friendly and secure customer and workforce authentication experiences. The integration of TypingDNA’s authentication API enhances security by preventing account takeovers as an integral part of holistic risk-based authentication (RBA) and two-factor authentication (2FA) systems.
The observED app leverages Tremend’s software solutions that analyze data from embedded video cameras and browsing history, as well as users’ typing behavior and device-interactions, powered by TypingDNA’s typing biometrics technology.
All in all, deploying keystroke dynamics within the 3-D Secure protocol can be the right move for merchants, banks, and payment issuers to become PSD2-compliant in a quick, secure, and user-friendly way.
TypingDNA’s typing biometrics Authentication API now works with Microsoft Azure Active Directory (Azure AD) B2C to ensure seamless authentication. TypingDNA’s proprietary AI technology recognizes people by the way they type on their keyboards and will enable Azure AD B2C customers to have comprehensive and robust protection against sophisticated threats such as password spray and brute force attacks.
No matter the industry, identity fraud and account takeover can translate into a ruined business. Companies can implement security measures even during account opening with sound identity verification proofing technologies.
To help with exam proctoring and students’ remote authentication, we are giving schools and universities our typing biometrics authentication API service for free within their learning management platforms. Our technology allows students to prove their identities by simply typing a short text on their keyboards.
You can count on TypingDNA’s typing biometrics to recognize typing behavior with great confidence, depending on what typing pattern you choose to use, as well as the size, and the number of typing samples enrolled for a user profile.
In a world with an increasing amount of cyber threats, the question posed is no longer whether we need authentication. The real question is how to choose the right MFA methods to suit your security needs, and this is the focus of this blog post.
The new Payment Services Directive – PSD2 is meant to better the current state of the European financial markets, adapt to the technological advancements of recent years, and propose up-to-date, common standards across the EU.
The European Banking Authority clarifies on what constitutes a compliant element in each of the three possible categories of multi-factor authentication: inherence, possession, and knowledge. EBA approves typing biometrics as compliant to be used in multi-factor authentication.
The adoption of automated authentication measures is a more accessible way to validate participants’ identities in online learning. We take a quick look into what are the main differences between existing methods.
We are glad to let you know that Optimal IdM (a global provider of innovative and affordable IAM solutions) has joined our mission to provide a “no more painful” authentication to its customers, as a partner.
Typing biometrics offer several advantages over other forms of behavioral biometrics. For example, typing biometrics can’t be easily spoofed and there’s no special hardware required. This makes typing biometrics ideal.
Behavioral biometrics is an advanced security method that helps improve fraud detection, login authentication and fraud prevention, and it’s quickly becoming the preferred way to secure accounts. There are numerous other uses for behavioral biometrics.
TypingDNA, the Romanian behavioral biometrics cyber security startup, based on artificial intelligence algorithms, has successfully closed a seed round led by Gecad Ventures and a group of business angel investors.