Question: Do you know of a platform that offers scalable analytics for large historical data sets to identify security risks?

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Falcon LogScale

Another top contender is Falcon LogScale, a next-gen SIEM and log management platform that can handle petabyte-scale security logging. Its index-free architecture means you can search and alert in real time without worrying about data loss or performance issues. Falcon LogScale offers 360° visibility by bringing all data together, eliminating data silos and addressing security and observability use cases. It offers flexible search and alerting, cloud-native and self-hosted deployment options, and is designed for large enterprises, government agencies and heavily regulated industries.

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CarbonReach

If you're looking for a geospatial data cyber security platform, CarbonReach uses machine learning to analyze data. It ingests, visualizes and understands location data to help you with your cybersecurity. CarbonReach offers scalable analytics for aggregation, time-series and geofence analysis on historical data sets. It combines device, location, network and behavior data to predict future risk, making it a great tool for IT teams and security teams to understand and protect their networks.

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Sumo Logic

Last, Sumo Logic offers a cloud-based platform for log management, monitoring and SIEM work. It uses AI and machine learning to process cloud data, and offers features like log analytics, infrastructure monitoring, application observability and cloud SIEM. Sumo Logic offers scalability, regulatory compliance and a wide range of integrations, making it a good option for developers and security teams looking to tap into cloud data for insights.

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