Application Security Weekly (Audio)

About all things AppSec, DevOps, and DevSecOps. Hosted by Mike Shema and John Kinsella, the podcast focuses on helping its audience find and fix software flaws effectively.

Discovering & Securing Your AI Agent Attack Surface - Jeremy Snyder - ASW #391 07/14/2026

Defense-in-depth strategies for securing mobile applications - Ryan Lloyd - ASW #390 07/07/2026

Reducing Attack Surface & Evaluating Efficiency in Agents - Itamar Apelblat, David Goldschlag - ASW #389 06/30/2026

Reducing Attack Surface & Evaluating Efficiency in Agents - Itamar Apelblat, David Goldschlag - ASW #389 SquidBleed reveals another vuln that's been lurking for decades, but its real lesson is in managing an attack surface. Regardless of whatever programming language you use, removing code is one of the best security steps you can take, followed by changing default configs to turn off uncommon features and ancient protocols. The Linux kernel's removal of strncpy is another example of managing attack surface by replacing a notoriously misused and ambiguous function with more specific versions that better match the developers intent. It was a six-year journey for the kernel, but one that should remove a class of vulns and, importantly, improve performance. Then it's on to agents with a discussion of the newly released OWASP AISVS and yet another example of evaluating LLMs as code reviewers. Agentic AI Has an Identity Problem AI agents are already running inside enterprise environments, operating on credentials, API tokens, and cloud roles that most security teams have never inventoried. When an agent acts autonomously across production systems, the security question is no longer just what it can do but who it is and whether that identity is governed at all. Itamar Apelblat, Co-Founder and CEO of Token Security, discusses why identity is the right lens for understanding agentic AI risk and what practical steps security teams can take now. Segment Resources: This segment is sponsored by Token Security. To lean more, visit Blended Identities and the challenge of IAM for AI AI agents aren't quite human and aren't traditional machines. So how do you secure workflows that involve humans using AI to access sensitive data, and do it at machine speed and scale? David breaks down the challenges and discusses actual implementations of IAM for AI to explain how to solve them. Segment Resources: This segment is sponsored by Aembit. Get the cloud security alliance survey on AI Identities at Visit for all the latest episodes! Show Notes: /episode/index/show/aswaudio/id/41901785

How AI Is Reshaping Identity Security at the Infrastructure Layer - Amit Masand, Neha Duggal, Ev Kontsevoy - ASW #388 06/23/2026

How AI Is Reshaping Identity Security at the Infrastructure Layer - Amit Masand, Neha Duggal, Ev Kontsevoy - ASW #388 Appsec has seen machine identities from daemons and processes to services, microservices, and cloud accounts. And now we have agents. Ev Kontsevoy talks about what it means to have engineers and agents interacting in an environment, and why a focus on actions can be more effective than roles. One of the biggest challenges in securing agents along with all of the other identities that organizations manage is how fragmented that management has become. But a unified engineering view of identities is just a start. Once you're able to shift to a practice where access is granted based on attributes and limited durations, then your environment becomes more resilient to mistakes and unexpected actions, not to mention the security concerns that come with agents acting on their own. Who Is Responsible for an AI Agent's Actions? As AI agents gain the ability to access systems, invoke tools, and take action on behalf of users, organizations need clear frameworks that define responsibility for machine-driven decisions and outcomes. This segment examines how accountability, delegation, and attribution can be established across users, developers, security teams, and business stakeholders. Neha will explore how governance models support transparent, auditable agent-driven workflows while helping organizations manage risk and maintain trust. This segment is sponsored by P0 Security. Visit to learn more about them! The rapid rise of agentic AI and non-human identities is fundamentally reshaping the future of identity security, challenging traditional IAM and PAM models built around predictable human behavior. In this executive interview at Identiverse 2026, Amit Masand discusses how autonomous systems, AI agents, and machine identities are creating new operational and governance challenges for modern enterprises. Drawing from more than two decades of industry experience, the conversation explores the growing complexity of continuous governance in a world where identities increasingly operate at machine speed. Segment Resources: Contact IDMEXPRESS! Secure Your Tomorrow, Today: Visit for all the latest episodes! Show Notes: /episode/index/show/aswaudio/id/41733825

Why Does It Matter Who or What Created the Code? - Matias Madou - ASW #387 06/16/2026

Scanner Results Are a Starting Point. Here's What Comes Next. - Federico Kirschbaum - ASW #386 06/09/2026

BadHost, Dead CTFs, Exploding NPMs, and the Verizon DBIR - ASW #385 06/02/2026

AppSec Conversations on Agents, LLMs, and OWASP from RSAC - Merritt Maxim, Scott Clinton, Janet Worthington - ASW #384 05/26/2026

The State of AI & AppSec - Keith Hoodlet - ASW #383 05/19/2026

Why Basic Security Practices Still Work - Rob Allen - ASW #382 05/12/2026

Keeping Up With the OWASP GenAI Project - Scott Clinton - ASW #381 05/05/2026

Top 10 Web Hacking Techniques of 2025 and a Hint for 2026 - James Kettle - ASW #380 04/28/2026

The Human Aspect of Red Teams - Brian Fox, Tom Tovar, T. Gwyddon 'Data' Owen - ASW #379 04/21/2026

The Human Aspect of Red Teams - Brian Fox, Tom Tovar, T. Gwyddon 'Data' Owen - ASW #379 Red team exercises set goals to see if a particular outcome can be accomplished through a simulated attack, but the ultimate outcome should be educating the org about how to improve tools and processes that make attacks more difficult to succeed. Gwyddon "Data" Owen shares his experience building a red team, creating an exercise, and leveraging the results to improve security. And while the adoption of LLMs will accelerate a red team's activities, there are still plenty of foundational security controls that orgs can establish that would require a red team to be more than just fast, but fast and very careful. Coding Agents Are Getting More Cautious, But Not Safer A new study finds that while frontier AI coding models are hallucinating less than they did a year ago, they still preserve a significant amount of avoidable software risk when left ungrounded. Sonatype’s research shows that connecting these models to real-time software intelligence dramatically improves remediation quality and reduces critical and high-severity vulnerability exposure by 60–70%. The takeaway is clear: safer AI-assisted development will depend not just on better models, but on grounding them in accurate, current dependency and vulnerability data. This segment is sponsored by Sonatype. Read the study: How We Achieve Agentic Outcomes in CyberSecurity: The “Do-It-For-Me” Mobile Defense If you look at deepfakes, synthetic identity, social engineering, and new malware variants coming to market, it seems like attackers have a first-mover advantage in using AI. The volume and variety of threats are growing faster than the current cyber stack can address. Against this backdrop, organizations are moving away from “do-it-yourself” delivery models (more tools, more alerts, more headcount) to “do-it-for-me” agentic AI delivery models (using platforms that unify data, execute policy, and automate outcomes). The emphasis outside of cyber is on empowering the expert human-in-the-loop — so teams spend less time in the noise and more time delivering business outcomes. This segment explores how cybersecurity leaders can make the most of the AI Age, leveraging it for good while staying relevant amid the explosive AI adoption curve. This segment is sponsored by Appdome. Visit to learn more about them! Visit for all the latest episodes! Show Notes: /episode/index/show/aswaudio/id/40947045

Securing Software's Journey with the OWASP SPVS - Ido Geffen, Rohan Ravindranath, Cameron W., Farshad Abasi - ASW #378 04/14/2026

Securing Software's Journey with the OWASP SPVS - Ido Geffen, Rohan Ravindranath, Cameron W., Farshad Abasi - ASW #378 It's one thing to write secure code, it's another to release it into the wild. That code needs to be designed, built, tested, released, and maintained. Farshad Abasi and Cameron Walters explain how the OWASP Secure Pipeline Verification Standard picks up from where ASVS left off, how it complements other supply chain security efforts like SLSA, and why they updated it with explicit coverage for AI. They show what goes into making a project relevant and -- most importantly -- successful at defending how supply chains are attacked. They're also looking for more feedback and participation! If you build software packages, consume software packages, or have an interest in helping organizations stay secure, check it out! Resources -- The Story Behind OWASP SPVS Zero Trust That Actually Ships: Moving From Strategy Decks to Real Security Most enterprise organizations have been working at Zero Trust for years and fail to deliver truly secure environments. Rohan Ravindranath shares insights that Zappsec has gained from guiding the global teams that are succeeding at protecting their orgs. Discover the common pitfalls so you can deploy a solution that works. This segment is sponsored by Zappsec. Visit to learn more about them! Cloning Attacker Tradecraft: Why AI Pentesting is Becoming Essential Enterprises ship code continuously, but most security validation still happens in snapshots. Novee CEO and co-founder Ido Geffen explains what “AI penetration testing” means, why it’s different from automated scanning, and why it’s becoming essential as attackers adopt AI to move faster. He breaks down what separates best-in-class AI pentesting: operator-like reasoning across real environments, validated exploitability, and the ability to uncover business logic flaws and multi-step attack chains. Ido covers the technology behind Novee’s AI penetration tester: a proprietary LLM model, built independently of “frontier” LLMs (like Claude, ChatGPT, Cursor, etc.), and consistently outperforming them at browser exploitation tests. Finally, he shares what buyers should demand in a live evaluation and how continuous retesting closes the loop after fixes ship. This segment is sponsored by Novee Security. See what your attackers already know at . Visit for all the latest episodes! Show Notes: /episode/index/show/aswaudio/id/40860615

AppSec News Roundup on Claude Code Leak, Axios NPM Compromise, Secure Design - Idan Plotnik, Raj Mallempati - ASW #377 04/07/2026

AppSec News Roundup on Claude Code Leak, Axios NPM Compromise, Secure Design - Idan Plotnik, Raj Mallempati - ASW #377 Security problems aren't changing very much even though security teams are. We catch up on the implications of the Claude Code source leak, the very human lessons from the axios NPM compromise, and what secure design looks like when it involves agents, humans, or both. AppSec has always celebrated interesting and impactful vulns. And LLMs are now a favored tool for finding flaws. We shouldn't forget the success and effectiveness of fuzzers like OSS-Fuzz, which has improved security for over 1,000 projects and found over 50,000 bugs. But we can't ignore the ease of prompting an agent to go find -- and exploit -- a vuln when the UX and overhead of doing so is hardly more than writing some markdown. The SDLC Blind Spot: Why Breaches Start with Identity, Not Code Developers have access to source code, CI/CD pipelines, and cloud infrastructure — and attackers know it. Target lost 860GB of source code through a single compromised credential. Recruitment fraud campaigns have pivoted from a compromised developer to cloud admin in under 10 minutes. As agents join human developers, contractors, and service accounts in the SDLC, the attack surface is expanding faster than static security tools can track. Security teams need real-time visibility beyond code and into who has access and what they're actually doing. This segment is sponsored by Apiiro. To lean more, visit . How AI-Driven Development is Reshaping the Application Risk Landscape Agent coding assistants are accelerating software development, generating more code and more change than security teams were built to handle. In this interview, Idan Plotnik discusses how AI-driven development is reshaping the application risk landscape and why traditional vulnerability management models can’t keep up. Make sure to schedule a free SDLC Risk Assessment with BlueFlag Security - 30 minutes to deploy. 48 hours to results. Please visit . Visit for all the latest episodes! Show Notes: /episode/index/show/aswaudio/id/40749995

Developing the Skills Needed for Modern Software Development - Keith Hoodlet, Shashwat Sehgal, Ron Rasin - ASW #376 03/31/2026

Developing the Skills Needed for Modern Software Development - Keith Hoodlet, Shashwat Sehgal, Ron Rasin - ASW #376 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 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 . 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: . Visit for all the latest episodes! Show Notes: /episode/index/show/aswaudio/id/40674295

Why Proactive Security Is Far Better Than Patching - Erik Nost - ASW #375 03/24/2026

Creating Better Security Guidance and Code with LLMs - Mark Curphey - ASW #374 03/17/2026

Making Medical Devices Secure - Tamil Mathi - ASW #373 03/10/2026

Modern AppSec that keeps pace with AI development - James Wickett - ASW #372 03/03/2026

Helping Users with Practical Advice to Protect their Digital Devices - Runa Sandvik - ASW #371 02/24/2026

Conducting Secure Code Analysis with LLMs - ASW #370 02/17/2026

Bringing Strong Authentication and Granular Authorization for GenAI - Dan Moore - ASW #369 02/10/2026

Focusing on Proactive Controls in the Face of LLM-Assisted Malware - Rob Allen - ASW #368 02/03/2026

Building proactive defenses that reflect the true nature of modern software risk - Paul Davis - ASW #367 01/27/2026

Lessons from MongoBleed, CWE Top 25, and Secure Coding Benchmarks - ASW #366 01/20/2026

Secure By Design Is Better Than Secure By Myth - Bob Lord - ASW #365 01/13/2026

The Upsides and Downsides of LLM-Generated Code - Chris Wysopal - ASW #364 01/06/2026

AI-Era AppSec: Transparency, Trust, and Risk Beyond the Firewall - Felipe Zipitria, Steve Springett, Aruneesh Salhotra, Ken Huang - ASW #363 12/30/2025

AI-Era AppSec: Transparency, Trust, and Risk Beyond the Firewall - Felipe Zipitria, Steve Springett, Aruneesh Salhotra, Ken Huang - ASW #363 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: 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 This interview is sponsored by the OWASP GenAI Security Project. Visit to watch all of CyberRisk TV's interviews from the OWASP 2025 Global AppSec Conference! Visit for all the latest episodes! Show Notes: /episode/index/show/aswaudio/id/39457995

Modern AppSec: OWASP SAMM, AI Secure Coding, Threat Modeling & Champions - Sebastian Deleersnyder, Dustin Lehr, James Manico, Adam Shostack - ASW #362 12/23/2025

Modern AppSec: OWASP SAMM, AI Secure Coding, Threat Modeling & Champions - Sebastian Deleersnyder, Dustin Lehr, James Manico, Adam Shostack - ASW #362 Using OWASP SAMM to assess and improve compliance with the Cyber Resilience Act (CRA) is an excellent strategy, as SAMM provides a framework for secure development practices such as secure by design principles and handling vulns. Segment Resources: As genAI becomes a more popular tool in software engineering, the definition of “secure coding” is changing. This session explores how artificial intelligence is reshaping the way developers learn, apply, and scale secure coding practices — and how new risks emerge when machines start generating the code themselves. We’ll dive into the dual challenge of securing both human-written and AI-assisted code, discuss how enterprises can validate AI outputs against existing security standards, and highlight practical steps teams can take to build resilience into the entire development pipeline. Join us as we look ahead to the convergence of secure software engineering and AI security — where trust, transparency, and tooling will define the future of code safety. Segment Resources: Understand the history of threat modeling with Adam Shostack. Learn how threat modeling has evolved with the Four Question Framework and can work in your organizations in the wake of the AI revolution. Whether you're launching a formal Security Champions program or still figuring out where to start, there's one truth every security leader needs to hear: You already have allies in your org -- they're just waiting to be activated. In this session, we’ll explore how identifying and empowering your internal advocates is the fastest, most sustainable way to drive security culture change. These are your early adopters: the developers, engineers, and team leads who already “get it,” even if their title doesn’t say “security.” We’ll unpack: Why you need help from people outside the security org to actually be effective Where to find your natural allies (hint: it starts with listening, not preaching) How to support and energize those allies so they influence the majority What behavioral science tells us about spreading change across an organization Segment Resources: Security Champion Success Guide: Related interviews/podcasts: How to measure success and impact of culture change and champions: Global Community of Champions sign up: This interview is sponsored by the OWASP GenAI Security Project. Visit to watch all of CyberRisk TV's interviews from the OWASP 2025 Global AppSec Conference! Visit for all the latest episodes! Show Notes: /episode/index/show/aswaudio/id/39457785

Application Security Weekly (Audio)

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