Log Analytics with Elasticsearch

Search & Analytics for log and event data

Data ingestion
Centralized collection of log and event data from all relevant IT sources to create a central data foundation for analysis and monitoring.
Compliance & forensics
Provision of reliable, traceable data for audit reports, regulatory requirements, and forensic investigations.
Rule-based classification
Automatic categorization and prioritization of events based on predefined or individually configurable rules to efficiently highlight relevant information.
Metadata enrichment
Contextual enhancement of data with additional metadata to make analyses, security monitoring, and troubleshooting more precise.
Indexing for fast search
Log and event data is indexed to enable real-time analytics, fast search queries, and in-depth security analytics.

Real-time event correlation: Analysis and correlation of security events in real time for rapid detection of complex attack patterns across large volumes of log data.
Machine-learning-based anomaly detection: Identification of unusual activities and potential threats through machine-learning-supported behavioral analyses.
Security analytics & threat detection: Advanced security analytics to detect suspicious activities and security-relevant events in hybrid IT environments.
Advanced alerting & incident integration: Advanced alerting mechanisms as well as integration into incident management and security workflows.
Enterprise security controls: Advanced security features such as data-at-rest encryption, enterprise authentication, and single sign-on.
Scalable SIEM platform: Support for large data volumes through distributed Elastic architectures, cross-cluster search, and horizontally scalable data platforms.