Today we delve into the evolving landscape of cybersecurity hiring, debating the merits of prioritizing skills over degrees and experience. From discussing the value of critical thinking and hands-on skills to the potential role of AI in the workforce, the conversation navigates the complexities of hiring practices. We share personal anecdotes, insights from industry articles, and our experiences as hiring managers. Tune in for a humorous and thought-provoking discussion on what really matters when building a successful cybersecurity team.

CISOs Rethink Hiring to Emphasize Skills Over Degrees and Experience article

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Vibe coding, or using AI to generate code by describing what you want. We critically examine the concerns surrounding AI-generated code, including code quality, security risks, and the potential for creating numerous low-quality applications. Our discussion explores whether AI can truly provide foolproof, production-ready code, or if it should be limited to idea generation and prototyping. Catch our candid take on the dangers of relying on AI for software development and the importance of maintaining human expertise in the coding process.

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We’re discussing the complexities of saying 'yes' or 'no' in the context of security decisions in today’s episode and the enduring challenge of integrating security into software development. The conversation swerves into the intriguing idea of a trade-like progression for developers, contrasting it with current knowledge work. The episode culminates in a hit parade of pop culture references, including Star Wars, Star Trek, Firefly, and more. Tune in for a thought-provoking and fun conversation!

Article Link: How to Say 'No' Well

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The Cyber Trust Mark, a new FCC program aimed at assuring the security of IoT devices is the topic of discussion today. We discuss various aspects of the Cyber Trust Mark, the history of similar initiatives like UL certification, and the challenges faced by consumers in determining the security of their devices. They also debate the merits and drawbacks of regulations like the EU's Cyber Resilience Act, the importance of secure-by-default design, and the limitations of relying solely on consumers or independent labs to ensure security. Throughout, they explore whether this new mark can genuinely make a difference or if it's just a rehash of old ideas.

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Hovercrafts and application security in the new year. We revisit last year's predictions on Quantum LLM, SBOMs, and whether DAST tools will make a comeback. With humor and forward-thinking, we explore what the future might hold for application security, the rise of new technologies, and even the outlandish idea of AppSec being dead.

Episode mentioned:
AppSec Resolutions - January 9, 2024

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What makes a conference truly valuable? Is it the unexpected connections and serendipitous meetings of minds, or the chance to break free from the "security echo chamber" by exploring diverse conference experiences? We discuss the considerations that make conferences worth attending and examine whether they are compelling enough to warrant personal investment. Whether large or intimate, each conference provides a distinct journey of learning and interaction.

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We debate the necessity and efficiency of LLMs in finding code vulnerabilities in a C library compared to traditional static code analyzers and fuzzing techniques. The conversation explores broader topics in application security testing, including the evolving landscape of Dynamic Application Security Testing (DAST), fuzzing, and the potential of emerging technologies like Application Detection and Response (ADR).

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We discuss a controversial LinkedIn post claiming "Threat Modeling is Dead." While the STRIDE methodology may need updating, it remains a valuable "gateway" tool for teaching security concepts to developers without security backgrounds. We discuss how STRIDE serves as a useful categorization system, emphasize that dogmatic approaches to threat modeling are problematic, and argue that what matters most are results rather than strict adherence to any particular methodology. Our conclusion; STRIDE is still alive and relevant, but it could benefit from an update to demonstrate its continued applicability.

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