ThreatQ Threat Intelligence Platform
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ThreatQ Threat Intelligence Platform
Additional Info
| Company | ThreatQuotient |
| Website | http://www.threatq.com |
| Company size (employees) | 50 to 99 |
| Headquarters Region | North America |
Overview
ThreatQ is a data-driven Threat Intelligence Platform purpose-built for Security Operations to prioritize, automate, and collaborate for optimized threat detection, investigation, and response. ThreatQ supports multiple use cases through automation, including incident response, threat hunting, spear phishing, alert triage, and vulnerability management, and supports future use cases by adapting to changing business needs.
The latest version of the ThreatQ Platform, V6, helps companies make the most of threat data, and intelligence to detect, investigate, and respond to threats, by prioritizing the platform’s security automation capabilities. The platform provides a simplified, data-driven approach to automating SOC teams, and cybersecurity analysts’ workflows, and enabling teams to scale processes quickly to be more effective, and to deliver more efficacy in their outcomes. It achieves this through a fine balance of human know-how combined with automation, and machine intelligence.
A key benefit of ThreatQ’s automation capabilities is that it aggregates threat data from multiple sources, filters out the noise, enriches, and correlates it into actionable threat intelligence, and stores it in a central library. This fosters collaboration for enhanced threat response in two ways. The first is by removing barriers posed by siloed working environments for security teams. The second is that this information can then be easily shared into threat intelligence feeds (available in the ThreatQ Marketplace), and the ThreatQ Community, a network that is home to more than 500 members, 190 companies across 30 countries, and 20 industries, to develop industry-wide responses.
Key Capabilities / Features
One of the ThreatQ Platform’s key security automation capabilities is its data-driven approach, powered by the DataLinq Engine. The engine correlates high-fidelity threat data across multiple sources, filtering out noise, and enriches the data with additional sources, attributes, and indicators, creating a unified view that provides all the necessary context to prioritize threats effectively. All this information is correlated within a central library. This refined intelligence can then be used to automate processes like sending alerts downstream or creating remediation tickets. This process not only simplifies detection and profiling but also accelerates response.
Furthermore, the ThreatQ Platform offers customizable integration with existing security tools and infrastructure thanks to its open and extensible architecture. This enables organizations to automate processes across their entire security ecosystem.
Beyond this, ThreatQ automates and enhances threat detection and triage across multiple SIEM platforms, including for phishing and low-level threats, allowing security teams to focus on more sophisticated attacks. ThreatQ ACE leverages natural language processing (NLP) and keyword matching to automatically extract critical threat intelligence from unstructured data feeds, improving the efficiency of intelligence gathering.
Another key capability is the platform’s Batch Actions. These streamlines ticketing workflows by grouping related remediation tasks. For example, instead of generating separate tickets for each affected system, a single ticket can address all instances of a CVE, significantly reducing operational overhead.
How we are different
ThreatQuotient has continuously assessed the adoption and best practices of cybersecurity automation. It has conducted and published four annual global market research reports, including the 2024 edition, The Evolution of Cybersecurity Automation Adoption. ThreatQuotient actively incorporates customer insights into its product development to align with industry needs and enable security teams to work smarter, not harder.
Quadrant Knowledge Solutions announced for the third year in a row that ThreatQuotient is a 2024 technology leader in the SPARK Matrix: Digital Threat Intelligence Management, 2024. This announcement highlights the ThreatQ Platform’s key differentiator, DataLinq Engine. DataLinq Engine takes a unique approach to making sense of data to accelerate threat detection, investigation, and response by facilitating the ingestion, and normalization of data from internal, external, structured, and unstructured sources.
ThreatQuotient delivers automation, scale, sharing, and support via an ecosystem of over 450 product and feed integrations available from its online marketplace. Integrations include intelligence feeds, security tools, enrichment services, sandboxes, and many more. In addition, ThreatQuotient provides the ThreatQ Integration Framework with intuitive tools to customize integrations or build custom integrations from scratch.
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