LogRhythm’s AI Engine is a fully integrated component of the LogRhythm NextGen Platform, delivering automated, continuous analysis and correlation of all activity observed within the environment. With a uniquely flexible and comprehensive approach, it delivers realtime visibility to risks, threats and critical operations issues that are otherwise undetectable in a practical way. AI Engine is correlation that works.
With over 900 preconfigured, out-of-the-box correlation rule sets and a wizard-based drag-and-drop GUI for creating and customizing even complex rules, AI Engine enables organizations to predict, detect and swiftly respond to:
Unlike legacy SIEM solutions, AI Engine leverages its integration with the log and platform management functions within the LogRhythm platform to correlate against all data—not just a pre-filtered subset of security events. Seamless integration also enables immediate access to all forensic data directly related to an event.
AI Engine rules draw from over 70 different metadata fields that provide highly relevant data for analysis and correlation. This metadata includes the dynamic Risk Based Prioritization (RBP) value assigned to all machine data, enabling the AI Engine to build trends and expose statistical anomalies based on the risk level associated with specific activity on the network. Whether detected by out-of-the-box rules or user-created/modified rules, AI Engine identifies and alerts on actionable events with tremendous precision, supporting security, compliance and operations use cases. AI Engine can also be used to cast a wide net through generalized correlation rules for broader visibility that accommodates changes in event behavior.
LogRhythm has combined enterprise-wide advanced correlation and pattern recognition with automated behavioral and statistical analysis to deliver the industry’s first Multi-dimensional Analytics capabilities. By combining advanced statistical and heuristic analysis with behavioral whitelisting, LogRhythm enables organizations to automate the process of learning what constitutes “normal” behavior on any combination of attributes tied to users, hosts, applications, or devices. Integrating these capabilities with advanced correlation and pattern recognition eliminates three significant problems for users of 1st generation SIEMs: the inability to accurately define what constitutes “normal” activity, a deluge of false positives that reduce understanding of meaningful events, and uncertainty due to false negatives.
AI Engine’s numerous predefined advanced correlation rule sets are configured to run out-of-the-box and act as templates for easy customization. All rules within AI Engine can be quickly modified through a highly intuitive GUI to address the unique requirements of any organization.
A single event is not always enough to indicate a breach or show the true reach of a security incident. AI Engine automatically generates behavioral whitelists of “normal” activity to help identify suspicious behavior patterns and automatically identify and alert on potential threats and breaches. For example, malware can invade and spread through an organization quickly, exposing data and weakening security faster than administrators can react. In many cases, the extent of the damage is unknown.
AI Engine enforces continuous compliance by generating events when specific policy violations occur. These include protecting cardholder data or Protected Health Information (PHI) from unauthorized access and actively monitoring privileged user behavior.
Advanced correlation offers substantial value for operational insight and IT services assurance. Slight variations in specific activities or a particular sequence of typically common operations events may indicate critical operations issues.
As a fully integrated component of any LogRhythm deployment, AI Engine can be deployed as a dedicated, high-performance appliance, installed as software on dedicated customer equipment, or deployed on multiple virtualization platforms, including VMware ESX, Microsoft Hyper-V, and Citrix XenServer. High-performance appliances can process tens of thousands of logs per second and billions of logs per day. AI Engine possesses a horizontally scalable architecture, allowing for simplified, incremental expansion of the deployment to meet the processing volume requirements of any enterprise. All instances of AI Engine are centrally managed through the LogRhythm client console.