Build machine-learning based security
into
your applications

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ENTERPRISES

Nixer CyberML allows you to build advanced machine-learning into your Java Spring applications

Nixer CyberML allows you to build advanced machine-learning into your Java Spring applications to combat fraud, insider threats or better understand
and react to anomalous or interesting user behaviour. This means that developing advanced machine-learning based functions in your applications more quickly
and without the steep learning curve associated with ML and Data Science.

Contact us to find out more about how we can help you build security
and anti-fraud intelligence into your Java applications.

 

Applications of Nixer CyberML include:

Credential Protection - Release 1 of Nixer CyberML allows you to improve detection, mitigation and prevention of credential attacks (such as stuffing
and brute force guessing) that are used to take over User accounts and exploit them.  Using the code libraries, you can build these capabilities into your applications quickly and easily. The release 1 code libraries are available
on the Apache 2.0 o/s license agreement and do not require use of any
SaaS services.

Anti-Fraud - with the Nixer CyberML code libraries in place, you can take advantage of customised SaaS based machine learning services that could give your application the ability to learn and distinguish between normal
and anomalous user behaviours automatically - and take appropriate action when detected.

Application-level DOS attacks- attackers frequently exploit normal user actions at scale (such as adding and item to a shopping cart, or password resets) to tie up an application with difficult to detect requests. 
These Denial-of-Service (DOS) attacks can only be fully understood ‘inside’
an application - so with the Nixer CyberML code libraries in place, you can take advantage of customised SaaS based machine learning services that could give your application the ability to learn and distinguish between normal
and anomalous user behaviours automatically - and take appropriate action when detected.

For more information, please contact us or visit Github

Let's collaborate

Please contact us to find out more
about Nixer CyberML and our other products & services.