- Increased efficiency by being able to quickly identify risks and advise their clients
- Improved user experience by easily navigating and analyzing constantly changing information
- Cut costs and resources on better data integration and maintaining information up-to-date on a large scale
The Goal
A multinational cybersecurity and defense company that integrated large volumes of data from various vendors wanted to easily navigate and analyze the vast and constantly changing flow of information. This included data on security threats (malware, adware, spyware, ransomware), infected software downloads, OS releases and updates, software vulnerabilities, application releases and updates, security patches, and more.
For example, the moment a new virus appears, the company has to be able to quickly determine which software/hardware combinations of a product (and the associated internal systems) will be affected by and vulnerable to this virus and all its variants, and immediately advise their corporate clients.
The Challenges
The required solution had to leverage both structured (from public and proprietary datasets) and unstructured data (from textual sources). Therefore, some of the main challenges were:
- The growing number of data and sources with information on cyber threats and software/hardware products
- The difficulties of continuously integrating heterogeneous data from multiple sources
- Maintaining such information up-to-date on a large scale
The Solution – A GraphDB-powered Live Cybersecurity Knowledge Graph
After trying other products, the cybersecurity company chose Ontotext GraphDB for its ability to handle massive load, querying, and inferencing in real time.
Powered by this leading RDF database for knowledge graphs, the company was able to represent their clients’ security infrastructure and all available cyber threat intelligence in a semantic model. The model captured the “meaning” of the constantly growing cybersecurity and product data with all its inherent relationships in a single graph that evolved with each new fact.
The live cybersecurity graph provided unified access to knowledge from multiple sources and translated the huge volumes of data into valuable information. Thanks to GraphDB‘s inference capabilities, now the company can easily discover relevant cybersecurity information about each new security alert or OS release/update/patch and use it for quick decision-making.
Business Benefits
- Smoothly integrate new information sources
- Use visual graph navigation of the stored data
- Easily search in their dynamically updated knowledge
Why Choose Ontotext?
With Ontotext’s leading semantic graph database, the multinational cybersecurity and defense company can easily navigate and analyze information to quickly identify risks and advise their clients.
