Mapping the Security Threat Landscape with Graph Technology
Mapping the Security Threat Landscape with Graph Technology
What is a graph?
At OpenHorizon, we use graph technology to structure intelligence in a way that mirrors real-world complexities. Instead of storing information in isolated data points, we break down the security landscape into structured and connected data points, consisting of:
- Nodes. These represent key entities such as nation-states, threat actors, weapons, security measures, scenarios, clients and assets.
- Relationships. These define how these nodes interact, for example where an asset is located, how many weapons a threat actor controls, what capability a threat actor has in some scenario, and what countries are military allies with each other.
This approach allows us to capture and analyze security threats with precision, efficiency, and depth. We increase our chances of detecting important connections, so that we can provide you with relevant insights and actionable solutions.
What Insights Can OpenHorizon’s Graph Provide?
Our graph isn’t just a data repository—it’s an active intelligence tool that allows us to call information and generate estimates to answer critical security questions that you might have.
Examples of the information the graph provides include:
- What kind of weapons does some organized criminal group possess?
- How effective is a specific security measure in defending against an offensive capability?
- Given the effective range of the weapons in its inventory, where can an extremist group attack you and with what impact to your operations?
- How many operations is some foreign intelligence agency expected to conduct in Saudi Arabia?
- How exposed is a specific asset of yours in a given threat scenario?
Our graph also helps generate intelligence estimates that address strategic, operational, and tactical intelligence requirements, such as:
- What is the probability that a specific threat actor will execute a specific scenario against you?
- How much force can a threat actor project and how much can you withstand in a given scenario, and what is the expected impact on your operations?
- Which security measures should you implement?
By structuring intelligence this way, our system enables faster, more accurate, and more relevant insights into the security landscape.
Benefits of a Graph-Based Model
Using a graph-based approach provides several key advantages:
Captures Complexity. Enables a structured breakdown of security threats, ensuring every connection is mapped and monitored.
Supports Deep Analysis. Helps analysts quickly identify vulnerabilities and predict risks.
Scales with Intelligence Needs. Adapts to evolving threats worldwide and new data, keeping intelligence relevant and up to date.
Delivers Actionable Insights. Transforms raw data into clear, data-backed intelligence that answers client needs.
Speed. Finds relationships and patterns faster than traditional database models.
Our Team
OpenHorizon’s most valuable asset is a team of experts. This team brings together expertise across multiple fields to ensure that the graph structure and the estimation algorithms provide the most accurate, insightful, and actionable intelligence possible.
- Intelligence Professionals. Specialists in intelligence tradecraft, structured analysis, and security risk assessments.
- Regional Security Experts. Deep knowledge of geopolitical landscapes and regional affairs in, amongst others, the Middle East, East Asia and Russia.
- Formal Modeling Experts. Specialists in understanding and modelling decision-making, ensuring that our intelligence estimates are built on rigorous logic and account for uncertainty.
- Data Scientists. Experts in machine learning, statistical modeling, and advanced analytics to extract patterns from intelligence data.
- Artificial Intelligence Specialists. Developers of AI-driven analysis and forecasting tools to enhance our intelligence processes.
To us, technology is just a tool to multiply the strength of our people. This merge of world-class expertise and advanced technologies (e.g. graph databases, artificial intelligence models) provides a powerful tool for understanding threats, predicting adversary behavior, and enhancing your security decision-making.