Update Threat_Modeling_Cheat_Sheet.md

cheatsheets/Threat_Modeling_Cheat_Sheet.md

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 Regardless of how a DFD or comparable model is generated, it is important that the solution provides a clear view of trust boundaries, data flows, data stores, processes, and the external entities which may interact with the system. These often represent possible attack points and provide crucial input for the subsequent steps.
 
+Another approach to Data Flow Diagrams (DFD) could be the brainstorming technique, which is an effective method for generating ideas and discovering the project's domain. Applying brainstorming in this context can bring numerous benefits, such as increased team engagement, unification of knowledge and terminology, a shared understanding of the domain, and quick identification of key processes and dependencies. One of the main arguments for using brainstorming is its flexibility and adaptability to almost any scenario, including business logic. Additionally, this technique is particularly useful when less technical individuals participate in the session, as it eliminates barriers related to understanding and applying the components of DFD models and their correctness.
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+Brainstorming engages all participants, fostering better communication and mutual understanding of issues. Every team member has the opportunity to contribute, which increases the sense of responsibility and involvement. During a brainstorming session, participants can collaboratively define and agree on key terms and concepts, leading to a unified language used in the project. This is especially important in complex projects where different teams might have different approaches to terminology. Due to the dynamic nature of brainstorming, the team can quickly identify key business processes and their interrelations.
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+Integrating the results of brainstorming with formal modeling techniques can lead to a better understanding of the domain and more effective system design.
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 ### Threat Identification
 
 After the system has been modeled, it is now time to address the question of "what can go wrong?". This question must be explored with the inputs from the first step in mind; that is, it should focus on identifying and ranking threats within the context of the specific system being evaluated. In attempting to answer this question, threat modelers have a wealth of data sources and techniques at their disposal. For illustration purposes, this cheatsheet will leverage STRIDE; however, in practice, other approaches may be used alongside or instead of STRIDE.