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Query.AI Achieves 150th API Integration Milestone to Give Organizations Centralized Insights to Decentralized Data Across Cloud, Third-Party SaaS

Query.AI Achieves 150th API Integration Milestone to Give Organizations Centralized Insights to Decentralized Data Across Cloud, Third-Party SaaS
— Enables Enterprises to Accelerate Cybersecurity Investigations and Responses Without Moving Data from One Environment to Another – 

Query.AI, the provider of the market’s only security investigation control plane for modern enterprises, announced that it has reached a new milestone. The company’s platform now provides real-time, API-driven, centralized insights to decentralized data across 150 of the most widely used enterprise technologies in cloud, third-party SaaS, and on-prem environments, including Microsoft Azure, AWS, and Google, among others. As a result, companies can more rapidly, accurately, and cost-effectively complete their cybersecurity investigations without the hassle or cost of duplicating or transferring data; or ripping and replacing existing technology.

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“Organizations everywhere are struggling with mountains of cybersecurity data, living in lots of different places, with no way to see it, easily determine what it all means, or quickly take action,” said Dhiraj Sharan, Query.AI founder and chief executive officer. “With the Query.AI platform, a truly one-of-a-kind solution, companies can use their API credentials or API keys to gain visibility and context throughout their full cybersecurity ecosystem, including cloud infrastructure, vendors’ SaaS, SIEM and log management, and endpoint, among others.”

The Query.AI platform serves as a connective tissue that delivers federated search to conduct investigations across data silos and eliminates the antiquated approach of universal data centralization. It provides companies with a unified browser interface, which plugs into existing security architectures quickly and easily using APIs. The platform also gives security teams the flexibility to query across cybersecurity systems and contextual information stores with the simplicity of a single query — via text, natural language, or Unified Query Language (UQL).

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“We are proud of the outcomes our platform is helping our customers achieve today – accelerating cybersecurity investigations and response times, making security analysts more productive more quickly, and saving money traditionally associated with engineering proprietary solutions that attempt to integrate disparate security data. We are also excited about our ability to help modern enterprises lay a solid foundation for their security architectures of tomorrow,” said Sharan.

This API milestone follows the Query.AI news earlier this year, announcing it raised $4.6 million in seed funding. The funding is supporting the company’s relentless focus on its platform, providing essential capabilities that companies need to access, investigate, and respond to security threats across their cybersecurity ecosystems. Earlier this year, Query.AI was recognized by two of the top industry analyst firms for its innovative approach, being named a 2021 Gartner Cool Vendor in Security Operations, and included in the Forrester Research, Inc. “New Tech: Extended Detection and Response (XDR) Providers, Q3 2021” report.  The company was also recognized by CRN magazine as one of the “Top 10 Hottest Cloud Security Startups of 2021.”

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