It’s an undeniable fact – organizations today are swamped with a massive volume of data spanning across users, devices, and networks. This increase in data volume is a result of accelerating digital transformation while also introducing point security tooling to stay ahead of adversaries.
Security is a big data problem. This data, while invaluable for proactive threat mitigation, often proves to be a challenge to collect, normalize, and analyze, especially when scattered across siloed tools and systems.
Legacy data solutions lack flexibility, scalability, and are cost prohibitive, preventing organizations from achieving the required level of security management. As the cybersecurity landscape continues to evolve, a robust, scalable, and cost-effective data solution becomes a necessity.
It is reported that 60% of all SIEM and Data Lake projects fail. One of the primary reasons is the sheer complexity of ingesting and normalizing different data sources into a single place. Many organizations have to create dedicated teams of IT and Security engineers to spend days grappling with data ingestion or managing parsers. In essence, teams are spending more time configuring prerequisites than focusing on security operations.
That’s where SentinelOne can help with Singularity Data Lake. This solution empowers businesses to centralize and transform data into actionable intelligence for real-time investigation and response with our AI-powered, unified Data Lake. Singularity Data Lake is a cost-effective, high-performance security and log analytics platform converging SIEM, XDR, and Log Analytics into one solution.
Ingesting third-party data is simple with Singularity Marketplace, an ecosystem of data connectors to integrate with industry-leading solution providers. Empower teams to quickly collect and normalize all types of data, with one-click installation, into the Open Cybersecurity Schema Framework (OCSF) for a broad view of security and data analytics.
By leveraging the standards-driven OCSF-ready connectors from Marketplace, Singularity Data Lake simplifies cybersecurity and IT operations by eliminating the need for teams to manage parsers and handle data normalization. This simplified data ingestion promotes cost efficiency and scalability–translating into significant cybersecurity cost savings.
Singularity Data Lake offers advanced threat detection, investigation, incident response, and contextualized threat intelligence. This empowers security professionals with the tools necessary to stay ahead of potential breaches, ensuring swift and effective blocking, removal, and mitigation of threats.
As compliance needs evolve, organizations that select Singularity Data Lake for their security and log analytics can pick from a variety of short-range retention periods, including up to 360 days. Thanks to its high-scale, cloud-native data lake architecture combined with a massively parallel query engine, Singularity Data Lake ensures data is always readily available in hot storage, for both short and long-range retention and querying.
For organizations looking to prolong data storage, teams can opt for long-range retention and long-range queries spanning one to five years. Unlike traditional solutions on the market which involve storing long-term data in slow cold storage, Singularity Data Lake’s high-performance search and availability allow for instant access at any time.
What’s more, it’s not just about data centralization. SentinelOne’s multi-tenancy and role-based access controls allow organizations to efficiently partition data and delegate responsibilities. Organizations can also gain unique insights from customizable dashboards, transforming raw data into actionable insights, tailored to specific needs.
In a nutshell, Singularity Data Lake empowers organizations to navigate the ever-evolving threat landscape confidently. By making data easier to centralize, transform, and retain, security teams can gain faster detection, advanced analysis, and enhanced investigation capabilities. Singularity Data Lake is a comprehensive security and log analytics platform that improves security outcomes and keeps organizations secure in today’s digital landscape.
Singularity Data Lake powers the Singularity Platform, the first AI security platform to provide enterprise-wide visibility and protection, bringing all enterprise data together in a unified data lake to reduce risk and help protect businesses. Any organization with Singularity Platform included in their subscription such as Singularity Complete, Singularity Commercial, and Singularity Enterprise customers already have access to Singularity Data Lake with up to 10GB per day of third-party data ingestion, not including native security data from SentinelOne, at no additional cost. Customers can increase this ingestion volume and add long-range retention and queries of up to five years.
We often hear from organizations that the top pain points for traditional SIEM solutions are cost and performance. As data growth outpaces budgets, security and IT teams are leaving important data behind and prioritizing intake only on what they can afford. This can lead to gaps in investigation, triage, hunting, response effort, and compliance issues. When attacks happen, security teams often need to go back much further than the last 14 or 30 days.
To help organizations move away from a costly and slow traditional SIEM solution and accommodate compliance needs, Singularity Data Lake is also available as a standalone product, serving as a robust, high-performance security and log analytics solution. The same short and long-range retention and long-range query options are also available.
With our innovative Singularity Data Lake, we’re empowering security teams with SIEM and XDR capabilities beyond their existing legacy SIEM solutions. The standalone offering of Singularity Data Lake provides the following capabilities:
To learn how to transform security and log analytics, meet our team for a demo. For existing SentinelOne customers, please contact your SentinelOne account team to discuss how to further leverage the Singularity Data Lake.