SentinelOne leverages its cybersecurity expertise to help enterprises process, store and analyze data at scale in real time, going beyond cybersecurity application cases
SentinelOne, provider of an automated cybersecurity platform, presented DataSet, the Data Analytics solution resulting from the acquisition of Scalyr. DataSet is not limited to cybersecurity application cases, but offers a practically unlimited Enterprise Data Platform to perform real-time data queries, analysis, insights and protection of corporate data.
SentinelOne's Singularity The data sets feed Artificial Intelligence models capable of instantly determining whether the behaviors detected are benign or considered harmful. Individual data points, connected automatically, provide insights and corporate data protection contextualized throughout the company, offering visibility and responsiveness. EDR and XDR search queries define accurate data sets for experts, capable of detecting intrusions and prevailing over any attack. Every component of SentinelOne's Singularity platform is built on the ability to analyze data; The path to building a market-leading, automated cybersecurity platform is powered by processing petabytes of data, growing at exponential scale, and developing real-time analytics.
"To be effective, the cybersecurity solution must make autonomous decisions in a fraction of a second, because every hundredth of a second counts. The way SentinelOne approaches cybersecurity with data has pushed us to go further, extending our expertise to a wide range of enterprise use cases," he said Tomer Weingarten, CEO at SentinelOne. "Our customers have the same data needs as SentinelOne: we believe it is essential to be able to understand and act quickly on all data sets. We present DataSet because we believe that every company benefits from the ability to understand and act on its data. The immediate and efficient use of a data set is the key to making optimal business decisions".
DataSet is a flexible, cloud-native platform for enterprise data processing: built for all types of data, current or historical, at a petabyte scale. By eliminating data schema requirements from the ingestion process and limitations on query indexes, DataSet can process massive amounts of data in real time, providing log management, data analytics and alerting with unprecedented speed, performance and efficiency, anchored on a foundation of security and privacy-first.
Eliminating data schema requirements from the capture process and limitations related to query indexes
"Distributed cloud infrastructure and containerized applications contribute to generating a large flow of data in continuous movement. The amount of data estimated to be created in the next three years will be greater than that recorded in the last 30 years", he underlined Stephen Elliot, Group VP, Research IT, Cloud Operations and DevOps di IDC. “The ability to analyze data at scale efficiently will become a necessity for every organization.”
Asana (NASDAQ: ASAN), Copart (NASDAQ: CPRT), TomTom and DoorDash (NASDAQ: DASH) have adopted DataSet to analyze all types of data from an unlimited time horizon – streaming and historical. CTOs, CIOs, designers and IT teams rely on DataSet, replacing Elastic and Splunk, to harness the power of their data. Data Legacy solutions are expensive, slow-moving, and ill-suited to scale to the level required by business and technology. In the Data-Defined era, we believe that businesses that are able to leverage their data most effectively will gain market share.
Market diffusion of DataSet
"With DataSet, our engineering, infrastructure and security teams can have a single source for making data-driven decisions. We no longer have to connect different teams and application cases," he highlighted Joshua Danielson, Chief Information Security Officer di Copart. “DataSet allows us to take targeted action on data, reduce the time to detect and resolve anomalies and safeguard the security posture.”
"Before DataSet, there was no centralized log management due to the different technologies that the TomTom navigator is equipped with. Searching between multiple tools slowed us down, especially in cases of accidents," he said Carl Meert, Product Manager SRE e Observability di TomTom. “DataSet unifies all our data from any source and today we are much faster at detecting and responding to unexpected events.”
Performance on DataSet
With the announcement, SentinelOne has appointed Rahul Ravulur to lead DataSet. The manager has over 25 years of experience building and managing Enterprise solutions, and recently headed the product division at Splunk. Ravulur will coordinate DataSet's activities to accelerate its market deployment with leading data-driven enterprises.
“SentinelOne is taking an important step to broaden its data experience – to help all businesses unlock the power of their data,” Ravulur recalled. "With the release of DataSet, we're helping organizations forget about expensive, labor-intensive legacy platforms that can no longer handle the scaling requirements of the future. DataSet is built for the future of insights and action on data."
For more information and to start an evaluation of the product, consult www.dataset.com. It's possible register for the virtual event presentation scheduled for March 22, 2022 at 7:00 pm.
