Exabeam Entity Analytics
Bringing Behavioral Analytics for Internet-Connected Devices
Entity Behavior Analysis
Threats move laterally though a network, leveraging users and machines in their search for high value data. Connected assets like medical equipment, machinery, and power grid infrastructure are an easy target. Assets require the same monitoring as humans. Entity Analytics establishes baseline behavior using communication patterns, ports and protocols, and operating activity — automatically identifying irregular activities indicative of a security incident.
Prebuilt Incident Timelines
Entity Analytics automatically develops timelines of security incidents. Unlike competitive solutions, Exabeam timelines track lateral movement without the manual steps. Timelines detail what happened during an incident and identify behavioral context to determine if the activity was normal — reducing the manual efforts of your SOC as they gather evidence for their investigation.
End-to-End Network Visibility
Whether monitoring a LAN or assets from a power grid, SOCs view data from many security solutions that when viewed in isolation appear benign. Entity Analytics ingests data from hundreds of security products, including data from Active Directory (AD), Configuration Management Database (CMDB), and others. Machine learning and behavioral modeling analyze the input from all these sources, detecting complex threats that would otherwise go undetected.
Automatic IP Mapping
In most IT environments machines are dynamically assigned IP addresses by DHCP. If an incident occurs, security teams must match which assets correlate with the targeted addresses. This can be a tedious, manual process. Entity Analytics not only performs IP association on current addresses, but also all past DHCP IP addressing over time.
Rule And Signature-Free Detection
Correlation rules and threat signatures create false positives due to their lack of context, and false negatives because they’re not able to detect unknown attacks. Maintenance also consumes large blocks of analyst time. Entity Analytics uses behavioral modeling and machine learning to look for abnormal activity — sensing risks and detecting anomalous events — without the tuning, maintenance, and false positives that drain analyst productivity.
“It wasn’t that we didn’t have the logs; we had those. But they were in many divergent locations, and it took our analysts lots of time to actually dig into those logs and find them and put a story together. With Exabeam, it actually provides us with a story.”
Director of Information Security
Exabeam provides security intelligence and management solutions to help organizations of any size protect their most valuable information.