Detect Compromised Sessions in Real Time With Plurilock DEFEND
How Plurilock DEFEND Continuously Authenticates
Plurilock DEFEND relies on behavioral biometrics and machine learning to recognize users based on the way that they work online.
DEFEND monitors a user’s mouse movement and keystroke patterns. When it matches with their typical behavior, no risk is detected.
If a user’s behavior seems unusual, it will log a medium risk. If the risk threshold is crossed, DEFEND will alert security staff as a potential threat.
DEFEND Webinar With Edwin Davis
The rise in remote working has brought with it the risks of data breaches, which according to IBM’s – Cost of a Data Breach Report, stands at USD 4.35 million. This webinar with Edwin Davis, (Senior Cybersecurity Solutions Architect, Aurora), explains how DEFEND can help your organization become compliant with new rules to be put in place and prepare for ZT.