Application Security Weekly (Audio)

The future of secure software is going through a mix of skills expected of humans and skills files created for LLMs. We might even posit that appsec as a discipline will fade (and that might not even be a bad thing!). Keith Hoodlet describes the skills he was looking for in building teams of security researchers and why there's still an emphasis on the ability to learn about and understand how software is built. But figuring out what skills will get you hired and what skills are valuable to invest in still feels daunting to new grads and others entering the security industry. We discuss where the role of appsec seems to be heading and a few of the security and software fundamentals that can help you follow that direction. Segment resources https://bsidessf2026.sched.com/event/2E1h4/we-pwn-the-night-growing-leading-an-31337-security-research-team?iframe=yes&w=100%&sidebar=yes&bg=no https://drive.google.com/file/d/1_zLH8vuHU1XOjEyk85WecQwSByDwxAmQ/view?pli=1 https://securing.dev/posts/if-i-were-eighteen-again/ https://research.nvidia.com/labs/lpr/slm-agents/ Then, we rebroadcast two interviews from RSAC 2026. The Identity Crisis of Agentic AI Identity security is being stretched between legacy infrastructure that was never built to be secure and rapidly emerging AI agents and non-human identities that organizations are quickly adopting. As AI accelerates, identity risk grows alongside it, making agentic security fundamentally an identity challenge—because the more access AI has, the greater both its power and potential risk. In this session, Ron Rasin explores how past gaps in areas like Active Directory and machine identities created today's blind spots, and why identity must now act as the control plane for AI-driven enterprises, with real-time enforcement before access is granted. He also highlights new innovations and partnerships enabling embedded identity controls across human, non-human, and AI identities, emphasizing that at machine speed, reactive security is no longer enough. To learn more about Silverfort and their AI Agent product, visit https://securityweekly.com/silverfortrsac. Privileged by Design: AI Agents and the New Identity Risk to Production Systems At RSAC this year, the AI conversation is getting more practical. Less "look what agents can do" and more "who's actually in control when an autonomous system can take real actions across business apps and infrastructure." The Moltbook breach and the growing attention on OpenClaw-style agent vulnerabilities put real weight behind that question because they show how quickly agent ecosystems can scale past oversight. Today we're talking with Shashwath, CEO of P0 Security, about why identity and authorization are the quiet enablers of modern AI, where teams are losing control as non-human identities explode and what security leaders can do to keep innovation moving without turning access sprawl into enterprise risk. To learn more about P0 Security, visit: https://securityweekly.com/p0rsac. Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-376

So much of appsec's efforts can be consumed by vuln management and a race to patch security flaws. But that's more a symptom of the ease of scanning and the volume of CVEs. Erik Nost walks through the principles behind proactive security, why the concept sounds familiar to secure by design, and why organizations still struggle with creating effective practices for visibility. Resources https://www.forrester.com/blogs/proactive-security-platforms-will-cumulate-visibility-prioritization-and-remediation/ Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-375

What happens when secure coding guidance goes stale? What happens LLMs write code from scratch? Mark Curphy walks us through his experience updating documentation for writing secure code in Go and recreating one of his own startups. One of the themes of this conversation is how important documentation is, whether it's intended for humans or for prompts to LLMs. Importantly, LLMs don't innovate on their own -- they rely on the data they're trained on. And that means there should be good authoritative sources for what secure code looks like. It also means that instructions to LLMs need to be clear and precise enough to produce something useful. Watch what happens when Mark prompts his agents to run a live demo for us! Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-374

Medical devices are a special segment of the IoT world where availability and patient safety are paramount. Tamil Mathi explains why many devices need to fail open -- the opposite of what traditional appsec approaches might initially think -- and what makes threat modeling these devices interesting and unique. He also covers how to get started in this space, from where to learn hardware hacking basics to reviewing firmware and moving up the stack to the application layer. Segment Resources: https://www.defconbiohackingvillage.org https://medium.com/@tamilmathimaddytamilthurai/securing-the-future-of-iot-with-trusted-execution-environments-tees-a-secure-scalable-and-1376f94e755c Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-373

As more developers turn to LLMs to generate code, more appsec teams are turning to LLMs to conduct security code reviews. One of the biggest themes in all the discussion around LLMs, agents, and code is speed -- more code created faster. James Wickett shares why speed continues to pose a challenge to appsec teams and why that's often because teams haven't invested enough in foundational appsec principles. Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-372

Journalists put a lot of effort into collecting information and protecting their sources, but everyone can benefit from having a digital environment that's more secure and more privacy protecting. Runa Sandvik shares her experience working with journalists and targeted groups to craft plans for how they use their devices and manage their information. And she also makes the point that the burden of security should not be just for users -- platforms and software providers should be evaluating secure defaults and secure designs that improve protections for everyone. Resources https://techcrunch.com/2025/03/13/apples-lockdown-mode-is-good-for-security-but-its-notifications-are-baffling/ https://www.glitchcat.xyz/p/lessons-learned-from-the-2021-arrest https://gijn.org/resource/introduction-investigative-journalism-digital-security/ https://cpj.org/ Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-371

A major premise of appsec is figuring out effective ways to answer the question, "What security flaws are in this code?" The nature of the question doesn't really change depending on who or what wrote the code. In other words, LLMs writing code really just means there's mode code to secure. So, what about using LLMs to find security flaws? Just how effective and efficient are they? We talk with Adrian Sanabria and John Kinsella about the latest appsec articles that show a range of results from finding memory corruption bugs in open source software to spending an inordinate amount of manual effort validating persuasive, but ultimately incorrect, security findings from an LLM. Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-370

When it comes to agents and MCPs, the interesting security discussion isn't that they need strong authentication and authorization, but what that authn/z story should look like, where does it get implemented, and who implements it. Dan Moore shares the useful parallels in securing APIs that should be brought into the world of MCPs -- especially because so many are still interacting with APIs. Resources https://stackoverflow.blog/2026/01/21/is-that-allowed-authentication-and-authorization-in-model-context-protocol/ https://fusionauth.io/articles/identity-basics/authorization-models Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-369

Everyone is turning to LLMs to generate code, including attackers. Thus, it's no great surprise that there are now examples of malware generated by LLMs. We discuss the implications of more malware with Rob Allen and what it means for orgs that want to protect themselves from ransomware. Resources https://www.bleepingcomputer.com/news/security/voidlink-cloud-malware-shows-clear-signs-of-being-ai-generated/ https://research.checkpoint.com/2026/voidlink-early-ai-generated-malware-framework/ https://cloud.google.com/blog/topics/threat-intelligence/threat-actor-usage-of-ai-tools/ This segment is sponsored by ThreatLocker. Visit https://securityweekly.com/threatlocker to learn more about them! Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-368

Supply chain security remains one of the biggest time sinks for appsec teams and developers, even making it onto the latest iteration of the OWASP Top 10 list. Paul Davis joins us to talk about strategies to proactively defend your environment from the different types of attacks that target supply chains and package dependencies. We also discuss how to gain some of the time back by being smarter about how to manage packages and even where the responsibility for managing the security of packages should be. Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-367

MongoBleed and a recent OWASP CRS bypass show how parsing problems remain a source of security flaws regardless of programming language. We talk with Kalyani Pawar about how these problems rank against the Top 25 CWEs for 2025 and what it means for relying on LLMs to generate code. Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-366

Not all infosec advice is helpful. Bad advice wastes time, makes people less secure, and takes focus away from making software more secure. Bob Lord talks about his efforts to tamp down hacklore -- the security myths and mistakes that crop up in news stories and advice to users. He talks about how these myths come about, why they're harmful, and how they're related to the necessity of building software that's secure by design. Segment Resources: https://www.hacklore.org/ https://medium.com/@boblord/lets-stop-hacklore-d5c86a0fdad8 https://www.cisa.gov/securebydesign https://medium.com/@boblord/recurring-classes-of-software-weaknesses-2007-vs-2025-c2cd56125e1a https://www.ncsc.gov.uk/report/a-method-to-assess-forgivable-vs-unforgivable-vulnerabilities https://99percentinvisible.org/episode/nut-behind-wheel/ https://timharford.com/2022/05/cautionary-tales-short-a-screw-loose-at-17000ft/ Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-365

Developers are adding LLMs to their code creation toolboxes, using them to assist with writing and reviewing code. Chris Wysopal talks about the security downsides of relying on LLMs and how appsec needs to adapt to dealing with more code at a faster pace. Resources https://www.veracode.com/blog/genai-code-security-report/ https://www.veracode.com/blog/ai-code-security-october-update/ https://www.veracode.com/resources/analyst-reports/2025-genai-code-security-report/ Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-364

In an era dominated by AI-powered security tools and cloud-native architectures, are traditional Web Application Firewalls still relevant? Join us as we speak with Felipe Zipitria, co-leader of the OWASP Core Rule Set (CRS) project. Felipe has been at the forefront of open-source security, leading the development of one of the world's most widely deployed WAF rule sets, trusted by organizations globally to protect their web applications. Felipe explains why WAFs remain a critical layer in modern defense-in-depth strategies. We'll explore what makes OWASP CRS the go-to choice for security teams, dive into the project's current innovations, and discuss how traditional rule-based security is evolving to work alongside — not against — AI. Segment Resources: github.com/coreruleset/coreruleset coreruleset.org The future of CycloneDX is defined by modularity, API-first design, and deeper contextual insight, enabling transparency that is not just comprehensive, but actionable. At its heart is the Transparency Exchange API, which delivers a normalized, format-agnostic model for sharing SBOMs, attestations, risks, and more across the software supply chain. As genAI transforms every sector of modern business, the security community faces a question: how do we protect systems we can't fully see or understand? In this fireside chat, Aruneesh Salhotra, Project Lead for OWASP AIBOM and Co-Lead of OWASP AI Exchange, discusses two groundbreaking initiatives that are reshaping how organizations approach AI security and supply chain transparency. OWASP AI Exchange has emerged as the go-to single resource for AI security and privacy, providing over 200 pages of practical advice on protecting AI and data-centric systems from threats. Through its official liaison partnership with CEN/CENELEC, the project has contributed 70 pages to ISO/IEC 27090 and 40 pages to the EU AI Act security standard OWASP, achieving OWASP Flagship project status in March 2025. Meanwhile, the OWASP AIBOM Project is establishing a comprehensive framework to provide transparency into how AI models are built, trained, and deployed, extending OWASP's mission of making security visible to the rapidly evolving AI ecosystem. This conversation explores how these complementary initiatives are addressing real-world challenges—from prompt injection and data poisoning to model provenance and supply chain risks—while actively shaping international standards and regulatory frameworks. We'll discuss concrete achievements, lessons learned from global collaboration, and the ambitious roadmap ahead as these projects continue to mature and expand their impact across the AI security landscape. Segment Resources: https://owasp.org/www-project-aibom/ https://www.linkedin.com/posts/aruneeshsalhotra_owasp-ai-aisecurity-activity-7364649799800766465-DJGM/ https://www.youtube.com/@OWASPAIBOM https://www.youtube.com/@RobvanderVeer-ex3gj https://owaspai.org/ Agentic AI introduces unique and complex security challenges that render traditional risk management frameworks insufficient. In this keynote, Ken Huang, CEO of Distributedapps.ai and a key contributor to AI security standards, outlines a new approach to manage these emerging threats. The session will present a practical strategy that integrates the NIST AI Risk Management Framework with specialized tools to address the full lifecycle of Agentic AI. Segment Resources: aivss.owasp.org https://kenhuangus.substack.com/p/owasp-aivss-the-new-framework-for https://cloudsecurityalliance.org/blog/2025/02/06/agentic-ai-threat-modeling-framework-maestro This interview is sponsored by the OWASP GenAI Security Project. Visit https://securityweekly.com/owaspappsec to watch all of CyberRisk TV's interviews from the OWASP 2025 Global AppSec Conference! Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-363