How can ML21 be used to monitor your application code-level based for security?
The core challenge in security is to stay ahead of the newest threats and security breaches. Traditional anti-virus software typically works on a signature-basis, in the sense that it needs to know beforehand how viruses operate. Zero day vulnerability such as Advanced Persistent Threats (e.g., Stuxnet, Petya etc.) however typically use hacks that are currently unknown to these systems. With traditional anti-virus, hackers and fraudsters are always one step ahead.
Discover deviating user behavior in your network
Embedding ML21 monitoring to your code-base adds security to your application on a new level. Even when unwanted users find a way to authorize themselves within your application, their behaviour will be abnormal compared to ‘normal’ users. Technically their navigation and browsing behaviour will be different causing the applications to call on functions and procedures within the code base that will causing ML21 to trigger the suspicious behaviour of the hacker.
ML21 anomaly detection enables real-time network analysis to discover deviating user behavior in your network and detect early-stage sign of Zero-day vulnerabilities, Ransomware activity and/or International Revenue Sharing Fraud. This can be achieved using Deep Packet Inspection or Web-hook analysis.