Loren Data's SAM Daily™

SAMDAILY.US - ISSUE OF NOVEMBER 02, 2024 SAM #8376
SPECIAL NOTICE

D -- Open Source Software: Structured Threat Intelligence Graph: Revolutionizing Cybersecurity Data Management

Notice Date

10/31/2024 10:38:30 AM
 

Notice Type

Special Notice
 

NAICS

518210 — Data Processing, Hosting, and Related Services
 

Contracting Office

BATTELLE ENERGY ALLIANCE�DOE CNTR Idaho Falls ID 83415 USA
 

ZIP Code

83415
 

Response Due

3/15/2026 8:00:00 AM
 

Archive Date

03/30/2026
 

Point of Contact

Andrew Rankin
 

E-Mail Address

andrew.rankin@inl.gov
(andrew.rankin@inl.gov)
 

Description

Open Source Software: Structured Threat Intelligence Graph: Revolutionizing Cybersecurity Data Management In an era where cybersecurity threats evolve rapidly, the need for sophisticated tools to visualize, manage, and counter these threats has never been more critical. Structured Threat Intelligence Graph (STIG) emerges as a groundbreaking software solution, setting a new standard in threat intelligence management by leveraging the capabilities of STIX data through an innovative graphical interface. The cyber threat landscape is constantly changing, presenting challenges in tracking, analyzing, and mitigating threats efficiently. Traditional text-based threat intelligence platforms often struggle to provide the clarity and context needed for effective decision-making. This gap led to the development of STIG, a solution designed to transcend these limitations by offering a comprehensive, graphical approach to threat intelligence. STIG is a unique software solution that simplifies the creation, management, querying, and visualization of Structured Threat Information eXpression (STIX) data. It stands out as the first of its kind to provide a graphical user interface (GUI) for interacting with STIX objects. Users can easily import or create STIX objects, save them into a database, and manage and query this database with unparalleled ease. The software's visualization capabilities allow for explicitly depicting complex object graph structures, enhancing understanding and strategic planning. Advantages: Graphical User Interface: Intuitive GUI for seamless interaction with STIX data. Comprehensive Management: Simplifies the creation, storage, and handling of STIX objects. Advanced Visualization: Visualizes complex threat intelligence data, making it easier to understand and analyze. GraphIRL Technology: Utilizes graph theory to enhance Incident Response Language (IRL) development and accuracy. Open Source: Facilitates customization and continuous improvement by the community. Machine-to-Machine Automated Threat Response: Supports MMATR proofs of concept, advancing automated cybersecurity measures. Applications: Cybersecurity Analysis: For analysts needing to visualize and manage threat data efficiently. Incident Response: Enhances IRL development, accuracy, and automated response capabilities. Customization and Integration: Ideal for vendors and utility companies looking to tailor cybersecurity solutions. Research and Development: Provides a platform for cybersecurity research, especially in automated threat response. Join the forefront of cybersecurity management by embracing the Structured Threat Intelligence Graph today. Download now to discover how our innovative approach to STIX data can transform your threat intelligence processes. INL�s Technology Deployment department focuses exclusively on licensing intellectual property and partnering with industry collaborators capable of commercializing our innovations. Our goal is to commercialize the technologies developed by INL researchers. We do not engage in purchasing, manufacturing, procurement decisions, or providing funding. Additionally, this is not a call for external services to assist in the development of this technology.
 

Web Link

SAM.gov Permalink
(https://sam.gov/opp/317af90747ec44b7ae6871c2a98c658e/view)
 

Place of Performance

Address: Idaho Falls, ID 83415, USA

Zip Code: 83415

Country: USA
 

Record

SN07253493-F 20241102/241031230108 (samdaily.us)
 

Source

SAM.gov Link to This Notice
(may not be valid after Archive Date)

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