We’re diving into the relevance and execution of threat modeling within agile development environments. We dissect the claims, explore the true integration of agile practices with threat modeling, and address the misconceptions and challenges commonly faced. Check out the episode to find out if threat modeling is indeed slowing down agile processes or if it can be seamlessly integrated for better security outcomes.

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We’re discussing the intriguing world of cyber privateers and the concept of 'hacking back' against cyber criminals. The discussion centers around a proposed bill in the U.S. Congress, H.R. 4988, that aims to authorize private individuals to pursue cyber criminals with the full backing of government-issued letters of marque. We explore the historical context of privateers, the potential legal and ethical implications, and the modern-day ramifications of such measures. And debate whether bringing back this old concept could be a solution to modern cyber threats or if it opens the door to more significant risks and unintended consequences.

US bill proposes 21st-century privateers to take on cybercrime

H.R. 4988 - Scam Farms Marque and Reprisal Authorization Act of 2025

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Dr. Kim Wuyts and Avi Douglen join us in today's episode. Both guests are fresh from their training sessions at Black Hat and DEF CON in Las Vegas and share a quick overview of their experiences. We discuss a newly developed privacy awareness card game called 'Context and Cringe,' which aims to educate participants about privacy issues in a fun and interactive way. We also cover an upcoming training session at Global AppSec DC in November, where attendees will learn practical privacy strategies and get hands-on experience with the card game. Join us as we explore how privacy differs from traditional security concerns in being less precise and more subjective.

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We’re discussing the article, “Agentic AI Threat Modeling Framework: Maestro published back in February of this year on the Cloud Security Alliance blog. We discuss the various layers, patterns, and threats outlined in the framework, comparing it to existing methodologies like STRIDE and PASTA, and evaluate Maestro's structure, its potential complexity for developers, and its overall practicality and usefulness in the threat modeling arena. Listen along as we unravel the intricacies of the framework and share our candid thoughts on its strengths and weaknesses.

Agentic AI Threat Modeling Framework Maestro

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We’re talking about the rise of "vibe startups" - entrepreneurs hunting for problems to solve rather than building solutions from personal experience. We chat about AI security challenges, questioning whether these are truly new problems or just old security concepts repackaged for the AI era. From prompt injection and guardrails to the scary reality of AI agents acting as humans, we examine whether the industry's obsession with AI is leaving traditional security gaps exposed.

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What are the core competencies that matter most for modern application security teams? Today we discuss understanding code and systems thinking and the crucial ability to assess risk in context - plus why your AppSec team might eventually get absorbed into engineering (and why it could be a good thing). We debate the role of developer mindset in security, the importance of technical depth over tool knowledge, and how to build teams that truly enable rather than gate development.

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Today we’re joined by Petra Vukmirovic. Petra, is the head of information security at Numan and co-leader of the Threat Model Library Project. Petra shares her vision for creating a massive, structured dataset of crowdsourced threat models that could revolutionize how the cybersecurity community learns and shares threat modeling knowledge. We explore the complex challenges of convincing companies to share their threat models publicly, diving into concerns about legal liability, competitive advantage, and the fundamental tension between transparency and security risk. Listen along to learn more about this exciting project and its potential impact on the cybersecurity field.

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We’re discussing vibe coding again and how AI-generated code is reshaping software development. We discuss the trustworthiness and maintainability of AI-generated code, examining the challenges of reviewing and integrating automated changes at scale. The conversation spans from practical concerns about code quality to broader implications for open-source projects in an AI-augmented world. We talk about identifying telltale patterns in AI-generated code and why context and traceability are becoming essential for trusting automated systems.

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