Invinsense - XDR security set to a new extreme.

Identifies suspicious or anomalous activity with never-before-seen file analysis, combining historical and real-time threat intelligence, and analyzing deep metadata with machine learning (network traffic, user actions, file attributes, etc.).

Quickly flags anomalies, such as new scheduled tasks that may launch zero-day malware, APTs, ransomware, or a large volume of files being encrypted without authorization on a device. Results in time and visibility advantages that allow active threats to be contained, ensuring there are no blind spots in coverage, so that risks can do not become incidents.

Goes beyond static and rule-based architecture by enabling automatic and speedier correlation of security data from disparate sources and by capturing constant streams of data generated by every business application, device, user and cloud assets.

Advanced computational analysis augments the vast amount of security data & threat intelligence reserves in the security lake, quickly identifying anomalies from diverse forms of data, such as SIEM logs, application source code and network packets, and further enhances this data with contextual information for high-accuracy targeted actions.

Drastically minimizes human analysts’ involvement in triaging, investigation and response actions. Automatically enriches alerts with contextual threat intelligence, analyzing alerts for enhanced triaging and escalation, and replicating the investigative procedures, security workflows, and decision-making processes of human SOC analysts.

Allows security teams to concentrate on strategic decisions rather than operational tasks. Greatly reduces MTTR by shrinking incident resolution time from weeks to a few hours, ensuring faster remediation as well as improved SOC efficacy, as required by certain regulations.