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ThreatQ
To understand and stop threats more effectively and efficiently your existing security infrastructure and people need to work smarter, not harder. ThreatQ can serve as an open and extensible threat intelligence platform that accelerates security operations through streamlined threat operations and management. The integrated, self-tuning threat library, adaptive workbench and open exchange allow you to quickly understand threats, make better decisions and accelerate detection and response.
HOW THREATQ WORKS:
THREAT LIBRARY
Shared Contextual Intelligence Using ThreatQ as a threat intelligence platform equips you with a threat library that automatically scores and prioritizes threat intelligence based on parameters you set. Prioritization is calculated across many separate sources, both external and internal, to deliver a single source of truth using the aggregated context provided. This removes noise, reduces risk of false positives and enables users to focus on the data that really matters.
ADAPTIVE WORKBENCH Combine Automation and Human Intelligence for Proactive Detection and Response Customer-defined configuration and integrations to work with your processes and tools. Customizable workflow and customer-specific enrichment streamline analysis of threat and event data for faster investigation and automates the intelligence lifecycle.
THREATQ INVESTIGATIONS The industry’s first cybersecurity situation room ThreatQ Investigations solves the collaboration and coordination inefficiencies that exist across security operations to accelerate detection and response. As the first cybersecurity situation room, it streamlines investigations and improves active collaboration among and across teams. Team leaders can direct actions, assign tasks and see the results unfold in near real time.
HOW THREATQ WORKS:
THREAT LIBRARY
Shared Contextual Intelligence Using ThreatQ as a threat intelligence platform equips you with a threat library that automatically scores and prioritizes threat intelligence based on parameters you set. Prioritization is calculated across many separate sources, both external and internal, to deliver a single source of truth using the aggregated context provided. This removes noise, reduces risk of false positives and enables users to focus on the data that really matters.
- Self-tuning
- Context from external + internal data
- Structured and unstructured data import
- Custom enrichment source for existing systems
ADAPTIVE WORKBENCH Combine Automation and Human Intelligence for Proactive Detection and Response Customer-defined configuration and integrations to work with your processes and tools. Customizable workflow and customer-specific enrichment streamline analysis of threat and event data for faster investigation and automates the intelligence lifecycle.
- Consolidated view, unified opinion
- Automatically prioritize based on all sources
- Continuous threat assessment
- Push-button operations using existing tools and processes
- User-specific watch list widget
THREATQ INVESTIGATIONS The industry’s first cybersecurity situation room ThreatQ Investigations solves the collaboration and coordination inefficiencies that exist across security operations to accelerate detection and response. As the first cybersecurity situation room, it streamlines investigations and improves active collaboration among and across teams. Team leaders can direct actions, assign tasks and see the results unfold in near real time.
- Fuse together threat data, evidence and users
- Accelerate investigation, analysis and understanding of threats in order to update your defense posture proactively
- Drive down mean time to detect (MTTD) and mean time to respond (MTTR)
- Build incident, adversary and campaign timelines
- Bring your own connectors and tools
- SDK / API for customization
- Standard STIX/TAXII support
The ROI4CIO Product Catalog is a database of business software, hardware, and IT services. Using filters, select IT products by category, supplier or vendor, business tasks and problems. Find the right business solutions by using a neural network search based on the results of deployment products in other companies.