Query.AI
Evaluating Open Federated Search for Security Solutions
Pages
15
Time to read
12 mins
Publication
Language
English
Pages
15
Time to read
12 mins
Publication
Language
English
This white paper evaluates open federated search solutions specifically for security applications. It addresses the growing complexity of security data management, where organizations often utilize multiple tools and systems, leading to challenges in data visibility and accessibility. The document outlines the evolution of search methodologies, from enterprise search to distributed and federated search, highlighting the limitations of closed federated search systems that only operate within a single vendor's technology. The paper emphasizes the need for open federated search, which allows for querying data directly from its source without the need for centralization. It provides definitions and clarifications of key terms and features associated with open federated search, aiming to guide security professionals in selecting appropriate solutions to enhance their data management capabilities. The intended audience includes CISOs, security analysts, and other professionals seeking to improve access to siloed security data while managing costs and operational efficiency.