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• Engineers should own security in a high-growth environment
• Each pull request should have an associated security review
• Threat modeling should be done by engineers using a custom tool with automation
• All deliverables or output should be stored in a database
• Risk assessment should be used to determine which features need a security review
• Security champions should be introduced to help with reviews
• Autonomy levels should be introduced for teams and partners
• Structured Threat Modeling as Code should be used for AppSec innovations

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• Threat models should be stored and available in places that people know where to find them and how to relate and change them
• Threat models can be used to define security contracts and find commonalities for platforming
• Templates are useful for making threat models consistent and easy to compare
• Everyday tools can be used for automating boring parts of the system and dealing with low hanging fruit
• Threat models are living documents that should be updated and stored for future use

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• Established software development teams may have difficulty in implementing threat modeling due to their existing processes and lack of security expertise.
• To address this, it is important to provide benefits and scope of threat modeling, as well as point to similar organizations that have successfully implemented it.
• Threat modeling should be integrated into the software development process and not treated as a separate tool.
• Facilitated sessions can help teams overcome challenges in implementing threat modeling, particularly during remote work situations.

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• Developers often prioritize functional aspects over security in their projects, but security should be given equal importance
• Threat modeling is a continuous learning experience that requires effort and investment
• Developers should use the search modeling approach to understand potential risks and prevent attacks
• Experience is fundamental in threat modeling and developers should apply it to real-life scenarios
• Investing in security allows for the reduction of potential losses as a result of a compromise of the solution

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• Fragile is an open-source agile threat modeling toolkit that generates rule-based risk analysis and outputs reports to mitigate risks in data assets and technical assets
• It uses a YAML file to create a threat model and generates various outputs such as reports, JSON, and REST API
• It has over 40 risk rules that can analyze the graph precisely leading to less false positives
• It has a plug-in interface that allows users to add custom risk rules to extend the tool's functionality
• It has a model macro concept that automates certain changes to the model in a wizard-style question and answer format
• It is released as open-source software under the MIT license and runs offline as a command-line interface or as a web server with a REST API