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

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

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

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

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!

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.

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.

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/

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/

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!

Show Notes: https://securityweekly.com/asw-363