Cribl puts your IT and Security data at the center of your data management strategy and provides a one-stop shop for analyzing, collecting, processing, and routing it all at any scale. Try the Cribl suite of products and start building your data engine today!
Learn more ›Evolving demands placed on IT and Security teams are driving a new architecture for how observability data is captured, curated, and queried. This new architecture provides flexibility and control while managing the costs of increasing data volumes.
Read white paper ›Cribl Stream is a vendor-agnostic observability pipeline that gives you the flexibility to collect, reduce, enrich, normalize, and route data from any source to any destination within your existing data infrastructure.
Learn more ›Cribl Edge provides an intelligent, highly scalable edge-based data collection system for logs, metrics, and application data.
Learn more ›Cribl Search turns the traditional search process on its head, allowing users to search data in place without having to collect/store first.
Learn more ›Cribl Lake is a turnkey data lake solution that takes just minutes to get up and running — no data expertise needed. Leverage open formats, unified security with rich access controls, and central access to all IT and security data.
Learn more ›The Cribl.Cloud platform gets you up and running fast without the hassle of running infrastructure.
Learn more ›Cribl.Cloud Solution Brief
The fastest and easiest way to realize the value of an observability ecosystem.
Read Solution Brief ›Cribl Copilot gets your deployments up and running in minutes, not weeks or months.
Learn more ›AppScope gives operators the visibility they need into application behavior, metrics and events with no configuration and no agent required.
Learn more ›Explore Cribl’s Solutions by Use Cases:
Explore Cribl’s Solutions by Integrations:
Explore Cribl’s Solutions by Industry:
Try Your Own Cribl Sandbox
Experience a full version of Cribl Stream and Cribl Edge in the cloud.
Launch Now ›Get inspired by how our customers are innovating IT, security and observability. They inspire us daily!
Read Customer Stories ›Sally Beauty Holdings
Sally Beauty Swaps LogStash and Syslog-ng with Cribl.Cloud for a Resilient Security and Observability Pipeline
Read Case Study ›Experience a full version of Cribl Stream and Cribl Edge in the cloud.
Launch Now ›Transform data management with Cribl, the Data Engine for IT and Security
Learn More ›Cribl Corporate Overview
Cribl makes open observability a reality, giving you the freedom and flexibility to make choices instead of compromises.
Get the Guide ›Stay up to date on all things Cribl and observability.
Visit the Newsroom ›Cribl’s leadership team has built and launched category-defining products for some of the most innovative companies in the technology sector, and is supported by the world’s most elite investors.
Meet our Leaders ›Join the Cribl herd! The smartest, funniest, most passionate goats you’ll ever meet.
Learn More ›Whether you’re just getting started or scaling up, the Cribl for Startups program gives you the tools and resources your company needs to be successful at every stage.
Learn More ›Want to learn more about Cribl from our sales experts? Send us your contact information and we’ll be in touch.
Talk to an Expert ›Our Criblpedia glossary pages provide explanations to technical and industry-specific terms, offering valuable high-level introduction to these concepts.
A data lake is a centralized repository that stores raw data in its native format, without the constraints of predefined structures. Data lakes are a flexible and scalable solution that can accommodate massive amounts of data from various sources. A security data lake is specifically designed to handle large-scale data from various security sources such as firewalls, intrusion detection, endpoint security, and log files.
A security data lake is:
The rise of security data lakes represents a significant advancement in the realm of cybersecurity, driven by the growing need to handle vast amounts of diverse data generated by modern IT environments. As traditional security tools struggle to handle the ever-increasing volume and complexity of security data, organizations have turned to security data lakes.
Security data lakes offer a solution by providing a central, scalable repository for all this information. This allows for improved threat detection, faster response times, and a more proactive security posture, making them a valuable tool in today’s evolving cybersecurity landscape.
When looking to implement a security data lake solution, there are a few best practices you can do to ensure you’re set up for success:
Security teams using a dedicated security data lake can enjoy many benefits including:
With massive amounts of sensitive security data stored in data lakes, it makes it a prime target for hackers and bad actors to attempt to gain access to them.
Data Access Control
Ensuring proper access control is complex due to the vast and varied types of stored data. Implementing granular permissions to restrict access based on roles and responsibilities is essential but can be difficult to manage.
Compliance and Regulatory Requirements
Data lakes often store sensitive information that must comply with various regulations, such as GDPR, HIPAA, and CCPA. Ensuring ongoing compliance and maintaining audit trails is a significant challenge.
Data Encryption and Privacy
Protecting data in transit and at rest with robust encryption mechanisms is crucial but can be resource-intensive. Ensuring data privacy, especially for personally identifiable information (PII), requires meticulous planning and implementation.
Data Lifecycle Management
Managing the lifecycle of data, including retention, archiving, and deletion policies, is complex due to the sheer volume and variety of data. Effective lifecycle management is necessary to prevent data sprawl and ensure compliance.
Scalability and Performance
As data volumes grow, maintaining scalability and performance while ensuring robust security and governance can be difficult. Balancing these aspects requires continuous monitoring and optimization.
Organizations can store massive amounts of structured and unstructured data in a security data lake, and run analysis on the data to detect patterns, identify threats, and generate insights. Security data lakes also help meet regulatory requirements by maintaining comprehensive logs and records for long periods of time.
Both Security data lakes and security information and event management (SIEM) solutions are essential for a comprehensive security strategy. They serve different purposes but are often used in complementary ways.
Security Data Lake | SIEM | |
---|---|---|
Purpose | Flexible storage for diverse datasets | Specialized in security event management, real-time monitoring, and incident response |
Data Handling | Stores raw, unprocessed data | Collects, processes, and analyzes event data in real-time |
Data Volume | Capable of handling massive data volumes from a variety of resources | Handles less data volume – focused on relevant security events |
Data Ingestion | Collects data from various security tools, systems, applications – in any format | Collects data primarily from security tools and systems, ingests processed or semi-processed log and event data |
Scalability | Built to scale and accommodate growing data storage needs | May have limitations compared to vast storage capacity of a data lake |
Use Cases | Advanced threat detection, behavior analytics, historical data analysis | Real-time monitoring, alerting, and incident response |
Classic choice. Sadly, our website is designed for all modern supported browsers like Edge, Chrome, Firefox, and Safari
Got one of those handy?