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The Application Security Podcast
The Application Security Podcast

The Threat Modeling Manifesto – Part 2

25 min24 november 2020

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How did a group of experienced practitioners turn months of disagreement into a usable Threat Modeling Manifesto? Part two follows the contributors as they refine principles, test language, and decide what belongs in the final document. The discussion compares recipes with adaptable patterns, examines the gap between documentation and shared understanding, and confronts the difficulty of proving threat modeling’s return on investment. Contributors including Alyssa Miller, Irene Michlin, Fraser Scott, Chris Romeo, and Robert Hurlbut debate whether guidance is essential or optional and whether patterns and anti-patterns can make it more actionable. The episode ends with the final principles and a complete acknowledgement of the people who created the Manifesto.

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Connect with the Threat Modeling Manifesto contributors:
Threat Modeling Manifesto
Chris Romeo on LinkedIn
Robert Hurlbut on LinkedIn

Mentioned in this episode:
Threat Modeling Manifesto
Zoe Braiterman
Adam Shostack
Jonathan Marcil
Stephen de Vries and IriusRisk
Irene Michlin
Kim Wuyts
Robert Hurlbut
Brook Schoenfield
Matthew Coles
Chris Romeo
Alyssa Miller
Izar Tarandach
Avi Douglen
Marc French
Agile Manifesto

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Chapters:
00:00 From debate to a finished Manifesto
02:48 Recipes, patterns, and adaptable practice
05:04 Documentation versus shared understanding
08:14 The return on investment of threat modeling
09:49 Structure and systematic analysis
12:56 Refining the principles
13:34 Alyssa Miller’s perspective
14:43 Irene Michlin joins the debate
16:12 Essential guidance versus optional advice
17:55 Preserving the power of the principles
19:28 Patterns and anti-patterns
21:15 Helping teams become more effective
22:42 Reading the final principles
24:04 The Manifesto contributors

The Application Security Podcast med Chris Romeo and Robert Hurlbut finns tillgänglig på flera plattformar. Informationen på denna sida kommer från offentliga podd-flöden.