Application Security Weekly (Video)

Epizode

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  The AI Threat Multiplier: Securing Mobile Apps in the Automated Era - Ryan Lloyd, Jason Cortlund - ASW #400 15.09.2026 52min

  While agents and LLMs haven't fundamentally changed core mobile vulnerability types, they have supercharged speed, scale, and accessibility—democratizing threats like automated phishing, synthetic identity fraud, and easier identification of hard-coded secrets. Ryan Lloyd and Jason Cortlund break down how threat actors leverage LLMs as a force multiplier to accelerate mobile app attacks. Then we discuss actionable defense strategies, from viewing agents as an active adversary to leveraging server-side threat telemetry, attestation, and layered defense strategies combined with polymorphic code releases. This segment is sponsored by Guardsquare. Visit https://securityweekly.com/guardsquare to learn more about them! Show Notes: https://securityweekly.com/asw-400
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  Security Conversations on AI, Agents, and Emerging Threats from Black Hat 2026 - Michael Leland, Sean Murphy, Idan Plotnik, Ido Geffen - ASW #399 08.09.2026 1h 9min

  We showcase recordings from this year's Black Hat. The Hidden Risks of the AI Supply Chain - Black Hat interview with Michael Leland, VP and Field CTO of Island Agents can independently discover and install tools, but the emerging ecosystem of Skills and MCP servers lacks many of the trust and security controls applied to traditional software. Michael Leland discusses Island's research uncovering thousands of malicious repositories, widespread security flaws across MCP servers, and a new attack technique called "AgentBaiting," in which attackers manipulate agents into finding and recommending malware to users. The conversation explains how enterprises can govern AI capabilities without slowing adoption. Segment Resources: https://www.island.io/blog/agentbaiting-how-800-fake-ai-skills-and-mcp-servers-delivered-malware For more information about Island's research, please visit https://securityweekly.com/islandbh After Mythos: Securing Frontier AI as Attack and Defense Accelerate - Black Hat interview with Sean Murphy, Field CISO - North America of F5 Frontier AI is compressing the time between discovering and exploiting vulnerabilities, forcing enterprises to rethink how they secure modern applications and AI systems. Sean Murphy shares how security teams can prepare for the next generation of AI-powered threats, why known vulnerabilities may become a bigger risk than zero-days, and what it takes to secure AI at scale from shadow AI and governance to agent and API protection. This segment is sponsored by F5. Visit https://securityweekly.com/f5bh to learn more about them! The Perfect Storm: When AI Writes the Code and Sharpens the Attacks - Black Hat interview with Idan Plotnik, Co-Founder and CEO of Apiiro Two storms are converging on how software gets built. The first: AI coding assistants are generating far more code than any security team can review, and with it, far more risk. The second: AI is sharpening the tools attackers use to find and exploit weaknesses faster than ever. Idan Plotnik explains why this convergence has moved the security perimeter to the coding agent itself, and makes the case for a prevention-first model where an AI AppSec agent guards coding agents in real time, governed by the principle that the agent writing the code cannot be the one to secure it. This segment is sponsored by Apiiro. Visit https://securityweekly.com/apiirobh to learn more about them! Model, Harness, Gym: Why Novee Owns the Full AI Pentesting Stack - Black Hat interview with Ido Geffen, Founder & CEO of Novee Security Most AI security tools are thin wrappers around a general-purpose frontier LLM — reasoning capability rented from someone else, applied to a generic scanning workflow. In this interview, Ido Geffen breaks down what it means to own the full AI pentesting stack — the proprietary offensive reasoning model, the harness that coordinates specialized agents, and the training gym where those agents are continuously benchmarked, post-trained on real attacker tradecraft, and promoted into production. Ido explains why owning each layer matters: it's how Novee's model consistently outperforms frontier LLMs at live browser exploitation, how the platform improves at a rate the customer feels every cycle, how Novee keeps security testing cost-efficient rather than relying on tokenized pricing models, and how new attacker techniques get injected into agent memory the moment Novee's research team observes them in the wild. He then makes the case that owning the model is only half the story. The other half is the Asset Intelligence Model — a living understanding of each customer's environment, workflows, permissions, APIs, and business logic. That's what turns a generalist AI hacker into a bespoke one: not just an attacker that reasons well, but one that reasons well about your specific business. He closes with how this advantage leads to findings that get more targeted every cycle, remediation tailored to an organization's tech stack, and a platform whose ceiling rises as attackers get faster. This segment is sponsored by Novee Security. Visit https://securityweekly.com/noveebh to learn more about them! Show Notes: https://securityweekly.com/asw-399
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  Fixing Software Weaknesses Rather Than Just Finding More Flaws - Nidhi Aggarwal, Gil Geron, Braden Russell - ASW #398 01.09.2026 1h 8min

  AppSec has always emphasized techniques and tools for discovering vulns, along with taxonomies and lists for describing them. But just piling up more CVEs into a prioritized patching queue has never been an effective strategy. Nidhi Aggarwal talks about some of the economics and decisions that orgs evaluate when figuring out how to improve and protect their software. LLMs might be effective assistants in generating code, but only when they have the context of secure patterns to follow. We also talk about what some of the bug bounty data reveals in terms of successful researchers finding more impactful vulns and why the combination of domain expertise and curiosity remains profitable. Segment Resources https://www.hackerone.com/blog/finding-fast-fixing-slow-rising-exposure-debt Vulnerability discovery and remediation gap in the AI era AI-generated code is changing how vulnerabilities are created, discovered, and managed. This segment explores why finding more vulnerabilities doesn't necessarily mean reducing exposure, how teams can validate exploitability and prioritize real risk, and where agentic AI can support defenders without replacing human security expertise. It also looks at what continuous threat exposure management means for enterprise security teams in practice. Everyone's a Builder Now: Securing the AI-Powered Enterprise: Black Hat Interview with Gil Geron, CEO of Orca Security AI is fundamentally changing software development, turning employees across the business into builders and reshaping how organizations think about innovation and risk. In this session, Orca Security CEO Gil Geron explores what this shift means for enterprise leaders and why security must evolve alongside the next generation of AI-powered software creation. Segment Resources: https://orca.security/resources/press-releases/orca-security-extends-its-platform-to-the-new-generation-of-ai-builders/ https://orca.security/platform/ai-appgen-security/ This segment is sponsored by Orca Security. Visit https://securityweekly.com/orcabh to learn more about them! Bugcrowd Launches Pathseeker: Flipping the Script on Traditional Pentesting: Black Hat Interview with Braden Russell, CTO of Bugcrowd Bugcrowd is launching Savant Pathseeker, the first product in its new Agentic Offensive Testing line, which combines continuous agentic pentesting with on-demand human validation. The launch comes as the security industry grapples with a growing "AI slop" problem, where unchecked AI-generated vulnerability reports have overwhelmed bug bounty programs and even forced some, like Curl, to shut theirs down. Braden will unpack how Bugcrowd is positioning Savant Pathseeker as a response to that industry-wide trust problem, not just a new product launch. Segment Resources: https://www.bugcrowd.com/products/pathseeker/ https://www.bugcrowd.com/press-release/bugcrowd-introduces-savant-pathseeker-delivering-continuous-agentic-pentesting-across-the-attack-surface/ https://www.bugcrowd.com/products/platform https://www.bugcrowd.com/products/ai-powered-security-intelligence/ Apply for early access at https://securityweekly.com/bugcrowdbh Show Notes: https://securityweekly.com/asw-398
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  Applying Zero Trust Principles to Agents - Kieran Human - ASW #397 25.08.2026 1h 6min

  Sandboxing, least privilege, and monitoring are well-established controls in terms of the defenses they provide against unexpected and unauthorized actions. But being well-established in theory doesn't always translate to successful in practice. Kieran Human talks about some of the properties that a good sandbox should have and how monitoring creates a feedback loop to refine allow lists and access controls. In practice, the potential unpredictable behavior of an agent isn't much different from malware. We talk through some of the ways orgs can securely deploy agents without unnecessarily increasing their attack surface. Resources https://www.threatlocker.com/blog/the-principle-of-least-privilege-for-ai-agents https://www.threatlocker.com/blog/applying-threatlocker-to-agentic-ai-tools https://www.threatlocker.com/blog/why-the-five-eyes-alliance-sees-zero-trust-as-the-best-defense-against-agentic-ai-threats This interview is sponsored by ThreatLocker. Visit https://securityweekly.com/threatlocker to learn more about them! Show Notes: https://securityweekly.com/asw-397
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  Augmenting Threat Intel Analysis with Agents - Sai Kiran Uppu, Chris Wallis, Ramin Farassat - ASW #396 18.08.2026 1h 9min

  All sorts of cybersecurity disciplines are adopting agents to help humans save time and automate routine activities. Sai Kiran Uppu describes his work on creating a platform for agents to analyze external threat intel, examine internal systems, and present triage decisions to operators. This type of work is especially useful to orgs that deal with petabytes of data and thousands of systems. And, as Kiran notes, it's important to keep that scale from blowing up your budget or turning triage into a procession of false positives. Ideally, this kind of threat intel that's paying attention to attack trends and searching internal systems for evidence of compromise also turns into proactive defenses. We talk about some of the ways to engage developers to improve security visibility into their services and harden their designs against common attacks. After that discussion we're running two sponsored interviews from Black Hat. AI Pentesting and the Future of Cybersecurity: Black Hat interview with Chris Wallis, Founder and CEO of Intruder This segment discusses how AI addresses the long-standing gap between traditional pentesting and automated vulnerability scanning. Intruder CEO and founder Chris Wallis dives into the nuances of AI-enabled security and how these offerings will impact mid-market security teams. Segment Resources: https://www.intruder.io/platform/ai-pentesting https://www.intruder.io/blog/ai-pentesting-the-depth-of-a-pentest-on-demand https://www.intruder.io/blog/ai-web-app-pentesting-test-on-every-major-release Intruder's continuous exposure management platform helps security, IT, and engineering teams stop breaches before they start. For more information about Intruder's products and services, please visit https://securityweekly.com/intruderbh. How Menlo Security Is Securing AI Agents from Prompt Injection: Black Hat Interview with Ramin Farassat, Chief Product Officer of Menlo Enterprises are deploying AI agents like Microsoft Copilot, Google Gemini, and Claude Code faster than they can secure them, and attackers are exploiting that gap through prompt injection. Hidden instructions get buried in web pages, files, and even images that a human would never notice but an AI agent reads and acts on. Menlo Security is building Menlo Agent Runtime Security (MARS) to close that gap, running every agent session in an isolated cloud that sanitizes content before an agent can act on it. Ramin Farassat, Menlo Security's Chief Product Officer, will discuss why the exposure lives in the connectors and integrations around the model rather than the model itself, and how security teams can put controls on the agent attack surface without blocking agentic AI outright. Segment Resources: https://www.menlosecurity.com/product/ai-agent-security MARS is now available today, please visit https://securityweekly.com/menlobh Show Notes: https://securityweekly.com/asw-396
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  Using LLMs for Vuln Discovery - Rishi Sharma - ASW #395 11.08.2026 1h 9min

  Finding flaws has always been a focus of appsec. And now with open source projects and open weight models orgs have modern tools to review code and conduct pentests. Rishi Sharma describes the motivation behind creating a platform of LLM-driven security tools and the effective ways to keep the tools in scope, on budget, and for engineering teams. We talk about how prompts influence LLM activity, as well as the external constraints to keep the LLMs on task. And even if finding flaws is a major focus of appsec, its goal should be delivering secure software and systems. We touch on some of the ways to keep bugs from creeping back into software and why it's more important to care about vuln classes than vuln counts. Episode Resources: https://projectdiscovery.io/research/ai-coding-impact-report https://projectdiscovery.io/blog/oh-my-rogue-agent Show Notes: https://securityweekly.com/asw-395
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  Prompting for Patches That Fix Vulns Without Adding New Ones - Keith Hoodlet - ASW #394 04.08.2026 1h 3min

  There's already an increase in volume of security flaws found by LLMs. And orgs are already turning to LLMs to write code. So, what happens when orgs lean on LLMs to create patches for those security flaws? Keith Hoodlet gives an exclusive early look at his team's recent research into the success, quality, and failures of LLM-generated security patches. Notably, they saw scenarios across a spectrum from robust, effective patches to patches that changed the software's behavior to patches that introduced new vulns to patches that didn't even fix the original vuln while also introducing a new vuln. The research considers factors like quality and correctness of prompts, complexity of the target software, programming language, and expertise required to understand what a robust patch should look like. If you're going to spend tokens on fixing security flaws, you want a feedback loop that fixes them correctly -- not an infinite loop of new flaws creeping in with every LLM iteration. Watch for this research, its toolset, and data to be released on Thursday August 6th during Black Hat. Show Notes: https://securityweekly.com/asw-394
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  Inside the OWASP Agent Security Regression Harness Project - Mert Satilmaz - ASW #393 28.07.2026 1h 9min

  Orgs need to be able to use agents, MCPs, and LLMs in ways that don't lead to unexpected actions and undesirable outcomes. The OWASP Agent Security Regression Harness project is an approach for defining customizable scenarios and testing whether those systems fail against known security threats. Mert Saltimaz talks about the background of the project, how orgs can use it as they bring more LLMs into their environment, and how the project intends to grow. Importantly, we also talk about the security controls and designs that orgs can build around the systems and data that models interact with in addition to evaluating the security of the agents and agent harnesses themselves. Segment Resources: https://github.com/OWASP/Agent-Security-Regression-Harness https://youtu.be/6DWs5EwbFQ0?si=r0IJ_F0SZnkPzzYg -- "What Trading Systems Taught Me About Breaking (And Defending) Infrastructure" Show Notes: https://securityweekly.com/asw-393
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  MacOS Security Design Features, Flaws, And Futures - Patrick Wardle - ASW #392 21.07.2026 1h 12min

  Appsec often frames usability and security as at odds with each other. Apple's software has famously emphasized the importance of usability while also creating a solid security foundation. Patrick Wardle talks about how he's seen malware shift from Windows to macOS, how Apple's aggressive stance on deprecation benefits security, and the areas of the OS where he still sees plenty of opportunity for more security research. We discuss how developers make defensible design choices, why privacy needs security, and some security principles that any app developer should keep in mind regardless of their programming language or operating system. Resources: https://objective-see.org/blog/blog_0x86.html https://objective-see.org/products/lulu.html https://objectivebythesea.org/v9/index.html Show Notes: https://securityweekly.com/asw-392
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  Discovering & Securing Your AI Agent Attack Surface - Jeremy Snyder - ASW #391 14.07.2026 1h 7min

  While LLMs and agents are new to appsec and everyone else, a lot of AI security requirements translate to well-known API security requirements. Jeremy Snyder helps us frame the OWASP LLM Top 10 into five layers in order to help orgs understand and prioritize their attack surface. A lot of orgs don't have to deal with model-specific threats or building their own GPU architecture, but every org adopting LLMs and agents should be aware of how those agents are being invoked and the output those agents are producing. That awareness of input and output helps in identifying and mitigating prompt injection attacks, ensuring agents are working within their expected boundaries, and taming token budgets. Resources: https://genai.owasp.org/llm-top-10/ https://github.com/rtk-ai/rtk https://docs.aws.amazon.com/bedrock/latest/userguide/prompt-caching.html https://www.firetail.ai/blog/beyond-the-spectacle-rsac-2026-and-the-5-layers-of-ai-security Show Notes: https://securityweekly.com/asw-391
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  Defense-in-depth strategies for securing mobile applications - Ryan Lloyd - ASW #390 07.07.2026 47min

  Mobile applications have unique risks and threat models compared to server-side applications and infrastructure. Consequently, they need different strategies to ensure their business logic and workflows well secured. We'll dive into some of these defense-in-depth strategies and why they are important to mobile applications. Securing workflows goes beyond input validation and pattern matching suspicious payloads; it requires detailed attention to state machines, edge cases, and collecting signals to evaluate trust. Segment Resources: https://hubs.la/Q04jLKj70 https://mas.owasp.org/MASTG/0x04c-Tampering-and-Reverse-Engineering/ https://owasp.org/API-Security/editions/2023/en/0x00-header/ This segment is sponsored by Guardsquare. Visit https://securityweekly.com/guardsquare to learn more about them! Show Notes: https://securityweekly.com/asw-390
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  Reducing Attack Surface & Evaluating Efficiency in Agents - Itamar Apelblat, David Goldschlag - ASW #389 30.06.2026 1h 12min

  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: https://www.token.security/product https://www.token.security/lp/ai-agent-identity-security-buyers-guide-ebook https://www.token.security/enzo https://www.token.security/ai-agent-calculator This segment is sponsored by Token Security. To lean more, visit https://securityweekly.com/tokenidv 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: https://aembit.io/case-study/a-300b-investment-firm-secures-claude-access-with-aembit/ https://aembit.io/blog/aembit-now-secures-microsoft-copilot-studio-agents/ https://www.youtube.com/watch?v=cSInzRUXvNc This segment is sponsored by Aembit. Get the cloud security alliance survey on AI Identities at https://securityweekly.com/aembitidv Show Notes: https://securityweekly.com/asw-389
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  How AI Is Reshaping Identity Security at the Infrastructure Layer - Ev Kontsevoy, Neha Duggal, Amit Masand - ASW #388 23.06.2026 1h 10min

  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 https://securityweekly.com/p0idv 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: https://www.idmexpress.com/post/preventing-cybersecurity-incidents-through-managed-services https://www.idmexpress.com/post/cyberark-securing-aws https://www.idmexpress.com/post/turning-roadblocks-into-breakthroughs-a-custom-oracle-pam-integration-story Contact IDMEXPRESS! Secure Your Tomorrow, Today: https://securityweekly.com/idmidv Show Notes: https://securityweekly.com/asw-388
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  Why Does It Matter Who or What Created the Code? - Matias Madou - ASW #387 16.06.2026 1h 6min

  Agents and LLMs are creating and reviewing code. They're a new tool to help developers write software and they're a new abstraction layer for expressing what code should do. But if we're focused on determining whether code is secure, where do we focus our attention on ensuring a secure outcome? Matias Madou talks about the challenges of finding metrics to help answer these questions. We walk through many of the questions we'd like to see answered and our desire to see appsec (finally?) shift out of a find-and-fix mode into a future of secure design. Show Notes: https://securityweekly.com/asw-387
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  Scanner Results Are a Starting Point. Here's What Comes Next. - Federico Kirschbaum - ASW #386 09.06.2026 1h 16min

  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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  BadHost, Dead CTFs, Exploding NPMs, and the Verizon DBIR - ASW #385 02.06.2026 45min

  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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  AppSec Conversations on Agents, LLMs, and OWASP from RSAC - Scott Clinton, Janet Worthington, Merritt Maxim - ASW #384 26.05.2026 59min

  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-381 This 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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  The State of AI & AppSec - Keith Hoodlet - ASW #383 19.05.2026 1h 2min

  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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  Why Basic Security Practices Still Work - Rob Allen - ASW #382 12.05.2026 1h 11min

  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=podcast This 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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  Keeping Up With the OWASP GenAI Project - Scott Clinton - ASW #381 05.05.2026 1h 9min

  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-352 This 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