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CrowdStrike vs osquery: What are the differences?

Introduction

CrowdStrike and osquery are both cybersecurity tools that offer unique features and capabilities. While they both focus on security, there are several key differences between them. This article aims to highlight these differences, helping users understand which tool is better suited for their specific needs.

  1. Deployment and Scalability: CrowdStrike is a cloud-based endpoint protection platform that provides real-time threat intelligence and incident response capabilities. It is deployed centrally and can scale to protect a large number of endpoints across multiple locations. On the other hand, osquery is an open-source agent that is deployed locally on each endpoint. While it offers flexibility and control, managing and scaling osquery deployments can be more complex and resource-intensive.

  2. Data Collection and Analysis: CrowdStrike collects and analyzes data from endpoints using a combination of lightweight agents and cloud-based analytics. It provides real-time visibility into threats and offers proactive protection. osquery, on the other hand, uses a SQL-like query language to gather data from the operating system, allowing for comprehensive monitoring and interrogation of endpoints. It provides a rich set of data for system administrators but may require more expertise to analyze and interpret.

  3. Threat Intelligence and Detection: CrowdStrike leverages a combination of machine learning, behavioral analysis, and threat intelligence to detect and respond to advanced threats. It monitors endpoint activities in real-time and alerts users to suspicious behavior. Osquery, on the other hand, is primarily focused on system monitoring and forensic data analysis. While it can help identify indicators of compromise, it may not offer the same level of sophisticated threat detection capabilities as CrowdStrike.

  4. User Interface and User Experience: CrowdStrike offers a comprehensive user interface that provides a centralized view of endpoint activities and security events. It has intuitive dashboards and provides actionable insights to users. On the other hand, osquery is primarily a command-line tool that requires users to write and execute queries manually. While it provides powerful capabilities, it may not be as user-friendly for non-technical users.

  5. Integration and Ecosystem: CrowdStrike offers integrations with various security solutions and platforms, allowing for seamless collaboration and information sharing. It can connect with SIEM tools, threat intelligence platforms, and other security products. Osquery, being open-source, has an active community that develops plugins and extensions for integration with different tools. However, the level of integration and ecosystem support may vary compared to CrowdStrike's offerings.

  6. Cost and Licensing: CrowdStrike is a commercial product and requires a subscription or licensing fee. The cost varies based on the number of endpoints and additional features required. Osquery is open-source and available for free. However, managing and supporting osquery deployments may require additional resources and expertise, making the total cost of ownership potentially higher in some cases.

In summary, CrowdStrike offers a cloud-based, scalable, and user-friendly endpoint protection platform with advanced threat detection capabilities. On the other hand, osquery is an open-source agent that provides comprehensive system monitoring and forensic data analysis. The choice between the two depends on specific needs, expertise, and resource availability.

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What is CrowdStrike?

It is a cloud-native endpoint security platform combines Next-Gen Av, EDR, Threat Intelligence, Threat Hunting, and much more.

What is osquery?

osquery exposes an operating system as a high-performance relational database. This allows you to write SQL-based queries to explore operating system data. With osquery, SQL tables represent abstract concepts such as running processes, loaded kernel modules, open network connections, browser plugins, hardware events or file hashes.

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What tools integrate with osquery?
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