When large data volumes stream in continuously from variety sources with high velocity, unless you look closely and immediately, you can miss critical insights that are urgent for you to act on. With batch-mode analytics in Big Data or data warehouse solutions, by the time you gain operational insights, they are no longer actionable. Striim offers streaming processing and analytics capabilities to detect patterns and anomalies that matter to your business as they happen, and allows for immediate action.
Striim offers an end-to-end solution for real-time data integration, comprehensive streaming analytics, and data visualization to accurately discover critical, time-sensitive insights and enables automated response. Its ease-of-use enables fast time-to-market and easy modification of analytical applications. As a complete, enterprise-grade platform, it meets the strict security, reliability, and scalability requirements of business-critical solutions.
When its existing SIEM solutions resulted in many alerts and false positives that the security team could not act upon, the leading credit card network turned to Striim to increase alert accuracy with more sophisticated rules, and improve the security team’s understanding of the alerts generated.
Striim ingests and joins security devices’ log and session data files in AVRO format, representing every security-related event from 50+ siloed security applications. With multi-log correlation and advanced pattern matching capabilities it accurately and immediately detects cybersecurity breaches and attacks. Striim’s results are sent to real-time dashboards and are written to data marts.
Detects cybersecurity threats faster and more accurately compared to existing SIEM solutions using an aggregate view into events
Responds to security threats in real time automatically and continuously updates blacklisted IP addresses for proactive defense.
Improves security analysts’ productivity by providing the cybersecurity events with full context for fast investigation and action
Striim combines all relevant data and performs in-flight enrichment to obtain a comprehensive view into operations. By using filtering, multi-source correlation, advanced pattern matching, predictive analytics, statistical analysis, and time-window-based outlier detection via continuous queries on the streaming data, it identifies events of interests fast and accurately. In addition to sending automated alerts and triggering workflows, it publishes results to real-time, interactive dashboards, and distributes data to the rest of the enterprise.
Continuous Data Ingestion from a Wide Variety of Data Types Including IoT Data and Geolocation Data
Comprehensive Streaming Analytics with Advanced Pattern Matching, Predictive Analytics, Outlier Detection
SQL-Like Language and Wizards-Based Development to Easily Build and Modify Analytical Applications