Main Analytical Frameworks for Cyber Threat Intelligence
– Yağmur Ernalbant
1. Data Collection Framework: This framework focuses on collecting data relevant to cyber threats from different sources. Data sources can include public sources, such as websites and news articles, open-source intelligence reports or closed-sourced intelligence gathered from paid services. 2. Pattern Recognition Framework: This framework is used to identify patterns in data collected from different sources. It helps to analyze and understand the correlations and trends between cyber threats and enables organizations to develop predictive models for better threat detection and prevention. 3. Threat Modeling Framework: This framework utilizes threat modeling techniques to assess, quantify and prioritize the threats facing an organization. It evaluates the possible attack vectors, the risk posed to the organization and the potential impact of an attack. It also offers recommendations for mitigating the threats. 4. Intelligence Analysis Framework: This framework is used to collate, analyze and visualize the data collected to present to stakeholders a clear picture of the threat landscape. It helps to develop an in-depth understanding of the trends, risk and impact of the threats, and empowers organizations to make informed decisions on how to respond.
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