DEV Community: Typing AI Biometrics

The most secure Authentication Methods that are PSD2 compliant

Typing AI Biometrics — Wed, 28 Dec 2022 09:08:45 +0000

Secure Authentication Methods

There are many different authentication methods that can be used to secure access to systems, devices, or online accounts. The most secure method will depend on the specific needs and goals of an organization or application. Here are a few examples of authentication methods that are generally considered to be more secure:

Two-factor authentication (2FA): This method involves requiring users to provide two forms of authentication in order to access a system or account. This can be something they know (such as a password), something they have (such as a security token or mobile device), or something they are (such as a biometric characteristic). 2FA can be more secure than a single-factor authentication method because it is harder for an attacker to obtain both forms of authentication.
Multi-factor authentication (MFA): This method is similar to 2FA, but it involves requiring users to provide multiple forms of authentication. This can increase the level of security, as it is even harder for an attacker to obtain all of the required forms of authentication.
Biometric authentication: This method involves using a unique physical characteristic of an individual (such as a fingerprint, facial recognition, voice recognition or typing biometrics) to verify their identity. Biometric authentication can be more secure than password-based methods because it is difficult to forge or steal a biometric characteristic.

It is worth noting that no authentication method is completely foolproof, and different methods may be more or less suitable for different applications. In the future, it is likely that we will see the continued development and integration of different authentication methods, as well as the emergence of new technologies and approaches. Some examples of this could include the use of artificial intelligence or machine learning to improve the accuracy and reliability of authentication methods, or the use of blockchain technology to secure and verify identity.

Ultimately, the future of authentication will depend on a variety of factors, and it is difficult to predict exactly what it will look like.

Payment Services Directive 2 (PSD2)

Payment Services Directive 2 (PSD2) is a regulatory framework that was introduced by the European Union (EU) in order to increase competition and innovation in the payment services industry, as well as enhance consumer protection and security in online payments.

PSD2 was introduced in 2015 and became fully effective in 2018. It applies to all EU member states as well as Iceland, Liechtenstein, and Norway.

One of the main objectives of PSD2 is to create a level playing field for payment service providers (PSPs), including banks, e-money issuers, and third-party payment providers. The directive requires PSPs to provide access to their customers' payment accounts to authorized third parties, known as "payment initiation service providers" (PISPs) and "account information service providers" (AISPs), under certain conditions. This is intended to allow for the development of new and innovative payment services, as well as increase competition in the market.

Another key aspect of PSD2 is the introduction of strong customer authentication (SCA) requirements for electronic payments. SCA involves requiring users to provide at least two forms of authentication in order to confirm their identity and authorize a payment. This can include something they know (such as a password), something they have (such as a security token or mobile device), or something they are (such as a biometric characteristic). The SCA requirements are intended to enhance the security of online payments and protect consumers from fraud.

PSD2 was introduced as a way to promote innovation and competition in the payment services industry, while also enhancing consumer protection and security in online payments. It has had a significant impact on the payment services market in the EU and beyond, and is likely to continue to shape the industry in the coming years.

Biometrics & Cyber Security

Typing AI Biometrics — Mon, 02 May 2022 10:35:04 +0000

Biometrics are body measurements and calculations related to human characteristics. Biometric authentication is used in computer science as a form of identification and access control. It is also used to identify individuals in groups that are under surveillance.

Computer security, cybersecurity, or information technology security is the protection of computer systems and networks from information disclosure, theft of or damage to their hardware, software, or electronic data, as well as from the disruption or misdirection of the services they provide.

1) Typing Biometrics

Biometric authentication has been around since the early days of computing, but the advent of typing biometrics has changed everything. This technology uses advanced algorithms to analyze your unique handwriting patterns and then authenticate them against a database of known samples. Because this method relies solely on your unique writing style, it eliminates any possibility of fraud.

2) Face Recognition

Face recognition is a relatively new form of biometric identification that works similarly to typing AI biometrics. However, instead of using your unique handwriting to verify your identity, facial recognition compares your face against a database of images. This makes it much harder to fake than typing biometrics because your face can’t be easily replicated.

3) Voice Recognition

Voice recognition is similar to typing biometics in that it analyzes your voice to identify who you are. But unlike keystroke dynamics, voice recognition doesn't rely on your handwriting. Instead, it uses sophisticated software to compare your speech pattern against a database of known voices.

Typing AI Biometrics is providing enterprise grade security using a unique Artificial Intelligence and Machine Learning algorithm.

Keystroke Authentication using Typing AI Biometrics

Typing AI Biometrics — Fri, 28 Jan 2022 12:53:27 +0000

Typing AI Biometrics records the keystroke timing data and creates a model. Applies learning algorithms to differentiate between a valid user and an intruder. Biometrics based on “who” is the person or “how” the person behaves, present a significant security advancement to meet new challenges of security.

The most promising approach has been Keystroke Biometrics which refers to the habitual patterns or rhythms an individual exhibits while typing on a keyboard input device. Compared to other biometric schemas, keystroke has the primary advantages that:

No external hardware like scanner or detector is needed. All that is wanted is a keyboard.
The rhythm or the pattern of the users is a very reliable statistic.
It can easily be deployed in conjunction with existing authentication systems.

Typing AI is a secure typing biometrics authentication API that identifies users by the way they type. The detection accuracy level is very high and there are almost no false positives.

This project uses artificial intelligence in order to detect the typing pattern. A unique typing ID is generated for each user. There are lots of peoples who tested the API and the accuracy level is over 99.9%.

Typing AI Biometrics provides enterprise grade security. TypingAI can be easily integrated in web, desktop and mobile apps using any programming language.

You can find more details on the Typing AI website.

Typing AI Biometrics revolutionizes online security by creating a secure typing biometrics authentication solution

Typing AI Biometrics — Fri, 07 Jan 2022 14:57:15 +0000

Although passwords seem to be pretty secure, they can still be cracked, and hackers come up with newer techniques every other day. One thing that cannot be cracked is your biometrics but things like deep fake technology still crack that to some extent. In that case, your typing style is a biometric value that cannot be traced by any means.

Typing AI is an Artificial Intelligence API that works for authentication on web applications, mobile applications, and desktop applications to enhance security. It revolutionizes the security of the online world by eliminating password usage and provides an accuracy of 99.9% without almost any false positives.

Every user has a unique typing pattern that can be used here for generating a unique keystroke dynamics ID. Currently, it has been tested as an API by a huge audience and the accuracy results of this tool were exceptional.

The Internet needs to be a safe place as everyone has their confidential data including contact details, payment information, and addresses. Typing AI is aimed towards making this world of the internet a safer place for every user out there. It is achieving success because it eliminates the password authentication.

It will not only benefit every average user, but it will hugely benefit businesses by reducing the risks of attacks and data breaches. In this way, businesses can not only protect their data centers, but it also enhances the security on personal levels for employees as there is no need to keep the data and information safe and secure by password protection.

Typing AI brings revolution and efficiency by making everything faster, simple, and better by all means. More and more developers and businesses are helped by securing their online presence regardless of the devices they use only with the help of Machine Learning and Artificial Intelligence techniques.

Password-protected authentication is thought and believed to be more secure by the whole world. It is the reason why hackers get the edge by cracking passwords and breaking into the infrastructures of huge companies and organizations. One of the major reasons behind this issue is that people have insecure passwords because they seem easier to remember.

At the same time, those are easier to crack. Typing AI does its part here by making the systems more than 80% secure than how secure they are right now. Hackers present all over the world not only create these data breaches, but they also make millions of dollars only by using simple phishing attacks and some other simple techniques.

Hackers are only able to break the latest security systems because they hold the data that takes no more than minutes for decryption. On the other hand, Typing AI makes everything secure as the main methodology is about reading users’ biometric typing fingerprint, the keystroke dynamics, which is different for every user, and it does not need to be stored anywhere.

As there is no data saved anywhere, the hackers won’t be able to access anything which makes Typing AI significantly efficient when it comes to enhancing security systems by tracking and validating the typing id. Even if the hackers know the credentials for accessing an account, they won’t be able to crack into the accounts because they can’t replicate your biometric typing style.

Typing AI Biometrics is working as a password killer app that will help organizations around the world. It will be helping them by never needing to maintain and secure any password-based authentication system.

Typing AI is the best security solution for any organization or company that needs a secure online presence. So, it is the best choice for Banks, FinTech companies, and other companies around the world that are looking for enterprise-grade security. Apart from these companies, educational institutes can also use Typing AI for a secure online presence.

As the COVID-19 pandemic hit this world, almost all of the things shifted to the online working methodology which makes a lot of platforms our direct customers relating to the eCommerce industry as well as some other industries.

Typing AI is currently used by more than 1000 nonpaying monthly active users. The biggest customer has more than 1 million registered users that are based in the US. This is a company that has integrated the API in its mobile and web platforms in order to track the keystroke dynamics.

Apart from users in the US, there are users from Europe and Asia as well where Typing AI provides a dedicated Services Level Agreement (SLA) that ensures 100% uptime and a fast response time under 100 milliseconds.

Roadmap and future plans

Typing AI is planning to boost its development, marketing, and sales with an investment of 3 hundred thousand euros in investment and some talks are still undergoing with crowdfunding platforms from the USA as well as Europe.

With this pace of development Typing AI will be a competitor with the world-leading companies like Google in no more than 6 months with the launch of a mobile application and soma additional Identity as a Service products. The services are also focused on the development of Multi Factor Authentication to further enhance enterprise-grade security solutions.

About Typing AI Biometrics

Typing AI is a company registered in the Republic of Croatia that is accelerated by the leading Croatian VC, Fil Rouge Capital. After joining the Fil Rouge Capital, Typing AI received an investment of 50,000 Euros in 2021. In 2021, Typing AI also graduated from Techceletor’s Advancing AI 2 accelerator that was run by Gapminder VC.

Typing AI is a company of 4 remotely working team members based in Romania, India, and Croatia. The cyber security company is focused on growing the team with professionals related to the sales field, marketing and development fields.

The typing biometrics solution is using a freemium Software as a Service (SAAS) business model, customers being able to test all the functionalities with the free plan.

There are opportunities for Full Stack Developers with Junior level experience, Sales Representative, Marketing and Conversion rate Optimization Specialists.

Useful links

Website: https://typing.ai
Facebook: https://facebook.com/typingai
Twitter: https://twitter.com/typingai
Youtube: https://www.youtube.com/channel/UCfRvIdXQ2bL-0A7NGnhiItQ