Digital Fingerprints – Providing Continuous Authentication With Behavioral Biometrics

Protecting our credentials is very important in this connected world. You never know which account can get hacked. From social accounts to banking accounts, hackers can take over of anything. While some websites offer two-factor authentication, most of the websites still do not provide that. Here comes a company that believes in the next level of security called "behavioral biometrics."

Digital Fingerprints believes that the security and privacy of data are fundamental values in the digital era. Human behavior can be used as a seamless security layer in it. As a team, they have shared ethics that can help us in making this world a better place. We really need a new mechanism that can distinguish users using online accounts seamlessly: no more hardware assets that you can lose, no more difficult passwords, no more poor user experience. Biometrics solutions based on fingerprints, iris, or face recognition aren't without their flaws. That is why they created digital fingerprints to provide a tool that would defend every user of each critical service from digital hijack while maintaining user privacy.

Why Behavioral Biometrics?

Traditional ways of authentication are not very safe. If you use a pin or a plain password, anyone can use it. Also, there are phishing apps that silently take away your passwords and offer them to hackers. Fingerprints are easy and convenient but are not very reliable. It doesn't work when your fingers are wet. Also, it can be easily fooled by printed fingerprints. Apart from that, someone can force you to use them for suspicious activities. Also, it doesn't know if you are sleeping or alive. The iris scan or face recognition is even riskier even if they are very convenient. You just need to look into your device from a distance, and the device unlocks. This can be risky if the device falls into wrong hands.

Behavioral characteristics naturally change over time which renders it difficult to copy. Digital Fingerprints is based on human-computer interaction. It follows the changes in the way the user interacts with devices. It does not require any additional hardware or weather conditions. It just requires you to be yourself and that is enough to stay protected.

Digital Fingerprints uses mathematical models based on the information acquired by interaction of humans with computers to achieve this. They look at the way you use a keyboard, mouse, touchpad, and other devices. They do not want to know what you do. Privacy of your data is their top priority, as they are GDPR compliant.

Digital Fingerprints works only for specific services. They start protecting from the moment of logging-in to the account until the end of the session. With that approach, if someone takes control over your computer or session – they can still protect you. Using passwords is a method that is not appreciated  nowadays. Further evolution of behavioral biometrics increases the quality of models that end up in the passwordless systems—just based on the behavioral biometrics. According to Gartner, before 2022, Behavioural biometrics will replace passwords.

Working of Digital Fingerprints

Digital Fingerprints creates machine learning models based on the data acquired during Human and Computer Interaction (HCI). Just like with human fingerprint, our behavior is unique. Digital Fingerprints technology uses behavioral biometrics to verify users' identities based on how they behave online, including typing, speed of cursor, or mouse movement curve.

They gather data from a spectrum of sensors built into devices your customers use in everyday life to access the Internet. There are several parameters for mouse, keyboard, screen, touchpad, mobile device sensors – all to ensure the authentication process is foolproof.

If you are a business owner, you must be aware of the threats to your customers. That is why it is always your decision on how to react based on the information obtained about identity verification with behavioral biometrics. They prefer to provide it via the Machine-to-Machine interface to minimize the delay. Once you start the journey, they will guide you to understand the models' quality, speed of processing, and common reaction types to adapt them to your risk modeling.

Features

Digital Fingerprints is a service that protects customers based on their behavior. It anonymizes data from your interaction with a computer. It only acquires information on how you do things, not what you do. For example, keyboard – they look at how you write and how often you use manipulation keys such as backspace, return or delete. They are compliant with GDPR requirements, allowing for opt-in and opt-out.

Classic authentication uses the information to verify users only during single operations such as logging in or sending money. This is known widely as the "Doorkeeper Problem." Continuous authentication starts protecting you before the moment of login and finishes at the end of the session. With that approach, it is possible to react to Session Takeover Attacks and Account Takeover Attacks.

User behavior changes. Sometimes very abruptly due to unexpected events. It is essential to follow the changes to provide a high quality of Machine Learning models. Their solution adapts to the changes in the behavior of end-users. They have created a Machine Learning model per user to maximize the quality of service. They use custom-created components to provide scalability for millions of users.

Digital Fingerprints does not acquire any information about you that is considered uniquely identifiable, such as your browser's identifier or your IP address. They do not want to know what you do. Just how you do it. Their measurements are based purely on behavior.

"We believe that the security and privacy of data are fundamental values in the digital era. We know that human behavior can be used as a seamless security layer.”

“As a team, we have shared ethics that lead us towards the goal of making this world a better place. We want you to be secure just the way you are."