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Most AppSec teams are working through more findings than their teams can validate. SAST surfaces thousands of potential issues. DAST generates alert volume that outpaces triage capacity. Somewhere in that output are the vulnerabilities that matter, the ones that are actually exploitable in production. This conversation explores why automated testing often stops short of the hardest part of the job: proving what is real. We dig into how business logic flaws and authorization vulnerabilities get missed by tools that scan without reasoning, what exploit validation looks like at runtime, and how security engineers are shifting toward findings that developers will actually act on.
The segment is sponsored by XBOW. Visit https://securityweekly.com/xbow to see how autonomous AI pentesting delivers expert-quality findings in hours with real exploit validation your team can actually act on.
Show Notes: https://securityweekly.com/asw-386
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We dedicate an episode to catching up on appsec news with Kalyani Pawar. We see parsing problems that led to the BadHost vuln, which exposed lots of LLMs, MCPs, and agents to potential compromise. We wonder where to look for security education and practice as the camaraderie of the CTF community becomes infiltrated by LLMs. We talk about the tradeoffs in trust between using public packages vs. having agents write replacements from scratch. And we examine some of the appsec details that the Verizon DBIR reveals about how orgs are being attacked -- and how orgs might use that information to protect themselves.
Show Notes: https://securityweekly.com/asw-385
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Manglende episoder?
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We showcase recordings from this year's RSAC.
At RSAC Conference 2026, Scott Clinton, Co-Chair and co-founder of the OWASP GenAI Security Project, shares insights from the project's latest research, including new landscape guides and evolving approaches to securing generative and agentic AI systems. The conversation explores critical gaps in GenAI data security, the rise of AI-assisted development, and the immense growth of the OWASP community and sponsor ecosystem. Looking ahead, he outlines the most urgent risks and priorities shaping AI and agentic security in 2026.
Then Merritt Maxim discusses how AI is affecting Identity and Access Management. Expect to hear this topic a lot throughout 2026, especially as the industry tries to figure out what's different or special about securing agent identities.
We close with a chat with Janet Worthington about the impact of agents on the SDLC and how orgs are updating their controls to deal with code generated by humans and LLMs alike.
Segment Resources:
https://genai.owasp.org https://genai.owasp.org/resources/ https://www.scworld.com/podcast-episode/3905-keeping-up-with-the-owasp-genai-project-scott-clinton-asw-381This segment is sponsored by The OWASP GenAI Security Project. Visit https://securityweekly.com/owasp to learn more about them!
Show Notes: https://securityweekly.com/asw-384
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This year has been a dichotomy of established secure design fundamentals and burgeoning chaos of LLM-driven vuln discovery. Keith Hoodlet returns to share his latest observations on what the recent news about Mythos, models, and harnesses means for appsec. He walks through the problems of misalignment, the potential development doom that looms behind a volume of vulns, and what modern code creation looks like. Along the way we touch on the economics of tokens and the principles behind secure software.
Keith gave a preview of his upcoming presentation (May 22nd) on these topics. Check out https://securing.dev/about/ for the slides and more of his writing on appsec.
Show Notes: https://securityweekly.com/asw-383
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If you have to ditch your entire appsec strategy because you expect 2026 to bring more vulns more quickly, then you probably didn't have a good strategy in the first place. Rob Allen shares how the mentality of "assume breach" doesn't have to be a defeatist attitude and can instead be a way to change a catastrophic breach into a more contained one. We also talk about proactive security and what an "avoid breach" attitude could look like, including how to apply the macro lessons of default deny and network isolation to writing secure code.
Resources
https://www.threatlocker.com/blog/the-claude-mythos-preview-proves-now-is-the-time-for-zero-trust?utmsource=cyberriskalliance&utmmedium=sponsor&utmcampaign=claudemythosaswq226&utmcontent=claudemythosasw-&utm_term=podcast https://www.threatlocker.com/capabilities/zero-trust-network-access?utmsource=cyberriskalliance&utmmedium=sponsor&utmcampaign=ztnaq226&utmcontent=ztna-&utm_term=podcast https://www.threatlocker.com/capabilities/zero-trust-cloud-access?utmsource=cyberriskalliance&utmmedium=sponsor&utmcampaign=ztcaq226&utmcontent=ztca-&utm_term=podcastThis segment is sponsored by ThreatLocker. Visit https://securityweekly.com/threatlocker to learn more about them!
Show Notes: https://securityweekly.com/asw-382
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Speed is the most common theme among developers and appsec teams working with LLMs and agents, from trying to keep up with patterns for deploying agents to dealing with more code faster to how the latest models impact code quality and security. The OWASP GenAI Project is helping organizations keep up with the speed of those changes and engaging the appsec community for sharing effective ways to keep systems secure. Scott Clinton shares the latest progress on the the project, its roadmap for the year, and how appsec practitioners can shape its future.
Resources:
https://genai.owasp.org/2026/04/28/finbot-ctf-is-live-a-hands-on-companion-to-the-owasp-genai-security-project/ https://genai.owasp.org/2025/01/22/announcing-the-owasp-gen-ai-red-teaming-guide/ https://www.scworld.com/podcast-episode/3695-inside-the-owasp-genai-security-project-steve-wilson-asw-352This segment is sponsored by The OWASP GenAI Security Project. Visit https://securityweekly.com/owasp to learn more about them!
Show Notes: https://securityweekly.com/asw-381
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Portswigger's list of web hacking techniques is a long-running celebration of curiosity and research from the web hacking community. James Kettle shares his thoughts on the entries from 2025 and how he expects LLMs and agents to influence what the list will look like for next year. He also shares some insights on using LLMs for his own blackbox research, giving us a peek into the work he'll be sharing at Black Hat USA this summer.
Resources
https://portswigger.net/research/top-10-web-hacking-techniques-of-2025 https://blackhat.com/us-26/briefings/schedule/index.html#can-ai-do-novel-security-research-meet-the-http-terminator-51894Show Notes: https://securityweekly.com/asw-380
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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: https://securityweekly.com/sonatypersac
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 https://securityweekly.com/appdomersac to learn more about them!
Show Notes: https://securityweekly.com/asw-379
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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
https://owasp.org/www-project-spvs/ https://github.com/OWASP/www-project-spvs/blob/main/1.5/ReleaseNotesOWASPSPVS1.5-AI-Pipeline-Security.md https://youtu.be/-WoqGDdivGw?si=kK5-csbnTw8Y4g2J -- The Story Behind OWASP SPVS https://slsa.devZero 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 https://securityweekly.com/zappsecrsac 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 https://securityweekly.com/noveersac.
Show Notes: https://securityweekly.com/asw-378
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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 https://securityweekly.com/apiirorsac.
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 https://securityweekly.com/blueflagrsac.
Show Notes: https://securityweekly.com/asw-377
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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.
Show Notes: https://securityweekly.com/asw-376
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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/Show Notes: https://securityweekly.com/asw-375
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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!
Show Notes: https://securityweekly.com/asw-374
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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-1376f94e755cShow Notes: https://securityweekly.com/asw-373
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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.
Show Notes: https://securityweekly.com/asw-372
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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/Show Notes: https://securityweekly.com/asw-371
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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.
Show Notes: https://securityweekly.com/asw-370
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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-modelsShow Notes: https://securityweekly.com/asw-369
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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!
Show Notes: https://securityweekly.com/asw-368
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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.
Show Notes: https://securityweekly.com/asw-367
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