Query

About Query

Query provides a federated search platform that enables security teams to access and analyze data from various sources, including data lakes and cloud services, without the need for data movement or duplication. This technology reduces storage costs and accelerates investigations by delivering OCSF-normalized and enriched search results in real-time, enhancing visibility and context for security operations.

<problem> Security teams struggle to efficiently access and analyze data scattered across diverse sources, including data lakes, cloud services, and SIEMs. Centralizing this data through traditional methods incurs high storage costs and requires complex data engineering pipelines. This complexity slows down security investigations and limits the ability to leverage all available data for threat detection and incident response. </problem> <solution> Query offers a federated search platform that enables security teams to directly query data across various sources without requiring data movement or duplication. The platform provides fast data source connectivity, automatic data enrichment, and data normalization to the OCSF standard. By delivering enriched search results in real-time, Query accelerates security investigations, enhances visibility, and provides comprehensive context for security operations, all while reducing storage costs and eliminating the need for extensive data pipelining. </solution> <features> - Federated search across platforms, SaaS tools, and data lakes - Connectors for Amazon Athena, Amazon CloudWatch Logs, Amazon Security Lake, Azure Log Analytics, Google BigQuery, Snowflake, Splunk, and more - OCSF normalization at search time - Automatic data enrichment - API integrations and search translations - Pre-built connectors for cloud infrastructure, email security, endpoint protection, identity management, and SIEM solutions - Splunk App to expand search capabilities without increasing Splunk costs </features> <target_audience> The primary target audience includes security teams, security operations centers (SOCs), and managed security service providers (MSSPs) seeking to improve threat detection, incident response, and security investigations. </target_audience> <revenue_model> Not enough information to provide the revenue model. </revenue_model>

What does Query do?

Query provides a federated search platform that enables security teams to access and analyze data from various sources, including data lakes and cloud services, without the need for data movement or duplication. This technology reduces storage costs and accelerates investigations by delivering OCSF-normalized and enriched search results in real-time, enhancing visibility and context for security operations.

Where is Query located?

Query is based in Atlanta, United States.

When was Query founded?

Query was founded in 2018.

How much funding has Query raised?

Query has raised 19710000.

Location
Atlanta, United States
Founded
2018
Funding
19710000
Employees
48 employees

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Query

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Executive Summary

Query provides a federated search platform that enables security teams to access and analyze data from various sources, including data lakes and cloud services, without the need for data movement or duplication. This technology reduces storage costs and accelerates investigations by delivering OCSF-normalized and enriched search results in real-time, enhancing visibility and context for security operations.

query.ai5K+
Founded 2018Atlanta, United States

Funding

$

Estimated Funding

$10M+

Team (40+)

No team information available.

Company Description

Problem

Security teams struggle to efficiently access and analyze data scattered across diverse sources, including data lakes, cloud services, and SIEMs. Centralizing this data through traditional methods incurs high storage costs and requires complex data engineering pipelines. This complexity slows down security investigations and limits the ability to leverage all available data for threat detection and incident response.

Solution

Query offers a federated search platform that enables security teams to directly query data across various sources without requiring data movement or duplication. The platform provides fast data source connectivity, automatic data enrichment, and data normalization to the OCSF standard. By delivering enriched search results in real-time, Query accelerates security investigations, enhances visibility, and provides comprehensive context for security operations, all while reducing storage costs and eliminating the need for extensive data pipelining.

Features

Federated search across platforms, SaaS tools, and data lakes

Connectors for Amazon Athena, Amazon CloudWatch Logs, Amazon Security Lake, Azure Log Analytics, Google BigQuery, Snowflake, Splunk, and more

OCSF normalization at search time

Automatic data enrichment

API integrations and search translations

Pre-built connectors for cloud infrastructure, email security, endpoint protection, identity management, and SIEM solutions

Splunk App to expand search capabilities without increasing Splunk costs

Target Audience

The primary target audience includes security teams, security operations centers (SOCs), and managed security service providers (MSSPs) seeking to improve threat detection, incident response, and security investigations.

Revenue Model

Not enough information to provide the revenue model.

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