Remote Access Monitoring
Securing and protecting remote access users is an ongoing challenge for network administrators. Existing security solutions have limited capabilities to adapt, scale and meet changing security landscapes.
Identifying these attacks quickly can block cybercriminals try to compromise legitimate user accounts so they can laterally move throughout an organization until they reach their objective.
Elysium’s Cognitive SIEM is built on our high-performance security platform that adapts to changing risks by leveraging a dynamic cooperative system with network-wide visibility and control.
By utilizing open source Big Data technology, our cognitive SIEM collects user, entity, and network data in real time. We establish normal baseline VPN usage patterns of each user, then use unsupervised and supervised machine learning models to help quickly and accurately identify anomalous (and potentially malicious) behavior to trigger investigation and mitigation.
- Establish normal baseline VPN usage patterns of each user, utilize unsupervised and supervised machine learning models to quickly and accurately identify anomalous and potentially malicious behavior
- Big Data technology, to collect user, entity, and network data in real time
- Leverages a dynamic cooperative system with network-wide visibility and control unlike point products