Continuous Authentication for Desktops & Laptops
with Keystroke Dynamics Technology

Strong security layer software to continuously secure your Desktop from unwanted access with typing biometrics (also known as keystroke dynamics).

Use Cases

Minimize human error

With continuous authentication, you have an extra layer of security. There is no need to worry about enterprise cyber security incidents.

Leaving computers unattended or sharing with someone else are common behaviors that result in security incidents.

TypingDNA Continuous Authentication will spot the intruder based on his typing patterns/keystroke patterns and will take action like system lockdown and alerts.

Use Cases: Enterprise Employees, Employees Data Leak, System Administrators, Data Sensitive Businesses

Beta Sign Up

Help make the release of Continuous Authentication App our best.

As a beta member, you can take part in test-driving pre-releases versions and let us know what you think.

Enroll right now as a beta member.

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How Does It Work?

After installation, the app starts to learn the typing patterns (also known as keystroke pattern) of the owner. After enough training, protection will be guaranteed for the owner against unauthorized access.

No one else can use the device unless he pauses it. It is completely frictionless and runs in the background.

Frequently Asked Questions

Most intruders are caught under 100 typed characters (1 typical sentence).

Our beta application is still in development. The final public release can be significantly different compared with the beta version.

You can choose a number of action like sign out, screenshot capture, take a picture(if camera available), and custom alerts(e-mail, SMS, sysadmin alerts, sound).

Our beta application is still in development. The final public release can be significantly different compared with the beta version.

No. Just your typical keyboard.

Not at all. Our main “typing pattern” is an array of numbers, keystroke dynamics statistics about 44 keys that are used most of the time. We’ve tried different approaches and we’ve decided to use something that does not record the actual text, but rather stats about the pressed keys (press and flight times), also, unlike others we do not record sequences between 2 or more keys (as they can be used to recreate the texts).

Have more questions?

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