Confluera combines behavioral analytics and ML powered anomaly detections to detect a broad spectrum of suspicious host and network behaviors in real time. What makes it special is the noise reduction and low false positives to intercept threats ‘that matter’ , thanks to the continuous attack graph approach.
Threat progressions are real-time, and so are Confluera’s recommendations. You can now take action while the attack is in play. Confluera’s threat response allows you to mitigate progressions in their tracks and clean up all live entities, ingress, and egress points to prevent future reengagements from the adversary.
Confluera automatically generates remediation recommendations based on the hosts, applications, processes, users, and network connections involved in each storyboard. Furthermore, Confluera’s Continuous Attack Graph technology keeps the attack graph constantly updated, displaying only the list of recommendations that applies to entities that are live and active at that time.
There is a constant tradeoff between taking prompt remediation actions and the risk of disrupting business applications. Confluera enables precise remediation actions at the process, network connection, and file levels, which allows you to isolate your remediation actions while minimizing disruption to your production environment.
Confluera provides an intuitive workflow to enable analysts to own cases, collaborate within a team, and take response action. Confluera also integrates with your incident management tools for incident data collection and response orchestration-with built-in support for ITSM and SOAR products and published REST APIs for custom integration use-cases.