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A centralized single view of all relevant data with alert summaries and advanced search alleviates information overload and expedites threat analysis and resolution.
Security telemetry is constantly generated, and needs to be immediately collected, normalized and stored at extremely high speeds to make it easily accessible for advanced computation and analytics.
Real-time enrichment to augment streaming data feeds with information such as threat intelligence, geolocation, and DNS creates meta-data critical for any investigation.
Cost effective data storage is necessary so that logs and telemetry can be efficiently mined and analyzed with long term visibility and full packets can be extracted and reconstructed to help trace who the true attacker was, what data was leaked, and where that data was sent.
Accelerated threat detection measured in days, instead of months
Increased productivity of SOC personnel by up to 15X
Holistic view of business risk through integration of multiple data types, inclusive of business data such as HR and accounting, combined with network & security data
Lower cost to capture relevant machine data compared to alternative solutions
Access to big data and data science expertise needed for the next generation of cybersecurity threat detection
A system designed for the scale of the modern digital world of millions of events per second vs thousands
More comprehensive analysis due to extended period of time that data can be stored
Augmentation of existing security infrastructure into a centralized system to enable a single view of threat data
Big data ingest and enrichment technology to capture full content and context of network traffic and machine data
Faster threat analysis with stream analytics machine learning
Expertise and technology for an integrated and holistic solution
Expertise from leading security data scientists