"The acquisition focuses on real-time data pipelines designed to eliminate existing bottlenecks in security operations. The company sees significant opportunities for customers struggling with inefficient data processing. According to SentinelOne, security teams are not dealing with a lack of data, but with a lack of usable data. Legacy data pipelines are the main cause of this. They are designed for batch processing and struggle to keep pace with modern, AI-driven security operations centers."
"The evaluation focused on eleven technical dimensions, including scalability, speed of integration, and anomaly detection. Observo emerged as the clear front-runner, according to SentinelOne. It scored highest in almost all categories. Customer interviews also confirmed this conclusion. Customers saw Observo AI as a solution suitable for large-scale implementations. Observ AI's technology can reduce data volumes by 80 percent without losing important signals."
SentinelOne acquired Observo AI to address bottlenecks in security data processing by implementing real-time data pipelines that process, enrich, and route information upstream of SIEMs and data lakes. Legacy batch-oriented pipelines generate noisy, unusable data and cannot keep pace with AI-driven security operations centers. Observo’s platform filters noise before storage, adds context like GeoIP and threat intelligence, and uses machine learning to detect anomalies during processing. A technical evaluation across eleven dimensions selected Observo from nine suppliers for scalability, integration speed, and anomaly detection. The technology can reduce stored data volumes by about 80% while preserving critical signals, enabling faster threat response.
#real-time-data-pipelines #security-operations-soc #data-enrichment--noise-reduction #ai-driven-security
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