Boosting Cybersecurity Efficiency with Knowledge Graphs

How a live knowledge graph helped a cybersecurity and defense company easily integrate new data sources and efficiently navigate their dynamically updated information.

July 9, 2020 3 mins. read Milen Yankulov

The increased use of digital operations across every industry around the world has emboldened cyber criminals to try more and more inventive ways of compromising and stealing company information or disrupting operations.

Today, we hear of major cyber attacks more often than ever before. In the past decade, the most notorious incident was probably the Yahoo data breach of 2013 in which all three billion user accounts were hacked and compromised.

The Increasing Threat of Cyber Attacks

Attacks are increasingly sophisticated and security breaches are growing, Accenture said in its Ninth Annual Cost of Cybercrime Study from 2019. According to their study, a total of 79% of business leaders report that new business models introduce technology vulnerabilities faster than they can be secured.

In the world of more and more cyber attacks, it’s not only enterprises that need to up their game. Cybersecurity companies whose business is to protect enterprises from all kinds of cyber threats also need to adapt on the fly in a constantly changing environment.

New call-to-action


Responding To Newer and Newer Threats

Cybersecurity companies have to quickly adjust their services not only to cover a growing number of targets but also to counter the growing number of methods cyber criminals use to attack enterprises. They have to collect and analyze various types of information about new malware or ransomware threats, new viruses and new vulnerabilities in their customers’ systems.

In other words, they need to be able to access an up-to-date picture of all potential cyber threats, which are buried in tons of data, both structured and unstructured, coming from various sources.

Knowledge Graphs Are The Key To Efficient Cybersecurity

To handle the huge volumes of heterogeneous data about cyber threats, some cybersecurity companies have turned to knowledge graphs. These machine-readable graph structures help enterprises smoothly integrate both structured and unstructured data in a semantic representation of real-world entities and the relationships between them.

The semantics is used not only to express and interpret the underlying data, but also to infer new facts out of the existing data. As a result, the flexible graph structure of knowledge graphs allows users to keep dynamically updated information of the latest threats and vulnerabilities discovered by cybersecurity experts.

Ontotext’s Solution: A Live Cybersecurity Knowledge Graph

At the request of a multinational cybersecurity and defense company, Ontotext has developed a live, flexible and scalable knowledge graph representing their clients’ security infrastructure and all available cyber threat intelligence.

The cybersecurity knowledge graph is powered by Ontotext’s leading graph database GraphDB. Its inference capabilities enable the company to easily discover relevant cybersecurity information about each new security alert and use it for making fast decisions.

With the help of Ontotext’s live cyber security knowledge graph, the cybersecurity and defense company is able to smoothly integrate new data sources and easily search and navigate this dynamically updated information.

Is your enterprise facing similar challenges?

New call-to-action

Article's content

Marketing Manager at Ontotext

Milen Yankulov has a vast experience in both traditional and digital marketing communications. His professional interests are related but not limited to Web and News Medias, Semantic Search and Social channels and all digital disruptions that change the way we communicate and do business.

Reflections on the Knowledge Graph Conference 2023

Read Milen Yankulov’s impressions from the conference, Ontotext positioning, the role of ML, AI & LLM in the graph space and more

Ontotext’s Top 5 Most Popular Blog Posts for 2020

Read about another busy year at Ontotext in our traditional round-up of the most popular blog posts we have published throughout 2020.

Johnson Controls Selects Ontotext’s GraphDB for the New Version of Metasys Building Automation System

Johnson Controls selected GraphDB to provide semantic data creation and management for their Metasys system – a Top-5 Integrated Building Management System.

The Importance of FAIR Data Principles in Healthcare & Life Sciences

Read about FAIR data principles – a relatively new concept for data discoverability and management that has quickly gained traction among the scientific data community and policymakers.

Boosting Cybersecurity Efficiency with Knowledge Graphs

Read about how a live knowledge graph helped a cybersecurity and defense company easily integrate new data sources and efficiently navigate their dynamically updated information.

Computer Vision Technology for Boosting Retailers’ Marketing & Product Management  

Read about how Ontotext’s customer demographic analysis solution, based on computer vision, helps retailers track and analyze customer traffic and behavior in stores.

Knowledge Graph Conference 2020 Recap: Knowledge Graphs Are Getting Into the Limelight

Read about KGC 2020 and how knowledge graphs-based technologies continue to advance into mainstream enterprise operations.

GraphDB Empowers Scientific Projects to Fight COVID-19 and Publish Knowledge Graphs

Read about COVID-19 related research projects, which are currently using Ontotext’s GraphDB.

Ontotext’s GraphDB Builds a Thriving Community of Expert Followers

Read about the thriving community GraphDB has generated over the years and the insights and experience they share in many blog posts and tutorials.

Ontotext Knowledge Graph Platform: The Modern Way of Building Smart Enterprise Applications

Read our article about Ontotext Platform, originally published in a special report “Empowering Machine Learning with Knowledge Graphs” by DBTA magazine.

How Pharma Companies Can Scale Up Their Knowledge Discovery with Semantic Similarity Search 

Read about how semantic similarity search helps Pharma companies efficiently process and answer large volumes of Regulatory Authorities’ questions.

How Computer Vision Technology Can Bring Smart Surveillance to Retail    

Read about how Computer Vision technology can provide efficient face recognition to identify known and potential offenders in retail stores.

Ontotext’s Graph Database Helps Create EU-Wide Company Business Graph

Read about the EU-funded project euBusinessGraph aiming to compile, integrate and analyze business data from various public and private sources.

Ontotext’s Most Popular Blog Posts for 2019

Read about another busy and exciting year at Ontotext in our traditional countdown of the most popular blog posts we have published in 2019.

Semantic Technology and the Strive for Drug Safety

Learn about Ontotext’s solution for tracking and collecting drug safety data, based on text analysis and knowledge graph technology.

Semantic Technology-based Media Publishing Boosts User Engagement

Read about how the more media publishers know about how users consume their content, the more relevant their content and ad recommendations will be.

Smart Analysis of Pharma Research Literature Makes Novel Therapy Identification Easier

Learn how knowledge graphs help discovering novel therapies by identifying new patterns and discovering previously unknown links between drugs and potential treatments.

Smart Negative News Monitoring Makes Banks’ KYC Process More Efficient

Read about how knowledge graph-based negative news monitoring, as part of a smart KYC process, provides a fully automated workflow for financial institutions and helps them comply with existing regulations and avoid reputational risk.

Semantic Search for Smart Data Discovery in the Pharma Industry

Read about how Ontotext’s smart semantic search solution enables users to easily find relevant information across huge volumes of siloed data-sources and get better knowledge insights from more efficient data management and discovery.

Top 5 Technology Trends to Track in 2019

Ontotext’s review of the top 5 technology trends as we expect to continue making their mark on the way companies gain faster and better insights.

Ontotext’s Top Webinars for 2018

Read on to see how Ontotext’s top webinars for 2018 helped businesses with knowledge discovery thanks to graph analytics and AI-powered services.

Ontotext’s Most Fascinating Blog Posts for 2018

Read about another busy and exciting year at Ontotext in our traditional round-up of the most fascinating blog posts we have published throughout 2018.

Ontotext’s GraphDB Powers UK Parliament’s New Data Service

Read about UK Parliament’s new data service and how it modernizes the way it consumes and shares data.

Q&As from Our Webinar: Graph Analytics on Company Data and News

Read some Q&As from our webinar: Graph Analytics on Company Data and News, presented by Atanas Kiryakov, CEO of Ontotext.

Top 5 Semantic Technology Trends to Track in 2018

As we are going into 2018, here is Ontotext’s list of the top 5 semantic technology trends to keep an eye on.

Your Favorite Ontotext Blog Posts for 2017

As we roll into the New Year 2018, our readability count distilled the following 5 favorite posts for 2017.