The MLSecOps Podcast

Next on the MLSecOps Podcast, we have the honor of highlighting one of our MLSecOps Community members and DropboxTM Red Teamers, Adrian Wood.
Adrian joined Protect AI threat researchers, Dan McInerney and Marcello Salvati, in the studio to share an array of insights, including what inspired him to create the Offensive ML (aka OffSec ML) Playbook, and diving into categories like adversarial machine learning (ML), offensive/defensive ML, and supply chain attacks.

The group also discusses dual uses for "traditional" ML and LLMs in the realm of security, the rise of agentic LLMs, and the potential for crown jewel data leakage via model malware (i.e. highly valuable and sensitive data being leaked out of an organization due to malicious software embedded within machine learning models or AI systems).

Thanks for checking out the MLSecOps Podcast! Get involved with the MLSecOps Community and find more resources at https://community.mlsecops.com.
Additional tools and resources to check out:
Protect AI Guardian: Zero Trust for ML Models

LLM Guard Open Source Security Toolkit for LLM Interactions

Huntr - The World's First AI/Machine Learning Bug Bounty Platform

MLSecOps Culture: Considerations for AI Development and Security Teams

The MLSecOps Podcast

07/03/24 • 38 min

In this episode, we had the pleasure of welcoming Co-Founder and CISO of Weights & Biases, Chris Van Pelt, to the MLSecOps Podcast. Chris discusses a range of topics with hosts Badar Ahmed and Diana Kelley, including the history of how W&B was formed, building a culture of security & knowledge sharing across teams in an organization, real-world ML and GenAI security concerns, data lineage and tracking, and upcoming features in the Weights & Biases platform for enhancing security.
More about our guest speaker:
Chris Van Pelt is a co-founder of Weights & Biases, a developer MLOps platform. In 2009, Chris founded Figure Eight/CrowdFlower. Over the past 12 years, Chris has dedicated his career optimizing ML workflows and teaching ML practitioners, making machine learning more accessible to all. Chris has worked as a studio artist, computer scientist, and web engineer. He studied both art and computer science at Hope College.

LLM Guard Open Source Security Toolkit for LLM Interactions

Huntr - The World's First AI/Machine Learning Bug Bounty Platform

The MLSecOps Podcast Season 2 Finale

The MLSecOps Podcast

09/07/24 • 40 min

This compilation contains highlights from episodes throughout Season 2 of the MLSecOps Podcast, and it's a great one for community members who are new to the show. If there is a clip from this highlights reel that is especially interesting to you, you can note the name of the original episode that the clip came from and easily go check out that full length episode for a deeper dive.
Extending enormous thanks to everyone who has supported this show, including our audience, Protect AI hosts, and stellar expert guests. Stay tuned for Season 3!

LLM Guard Open Source Security Toolkit for LLM Interactions

Huntr - The World's First AI/Machine Learning Bug Bounty Platform

AI Governance Essentials: Empowering Procurement Teams to Navigate AI Risk

The MLSecOps Podcast

11/07/24 • 37 min

Full transcript with links to resources available at https://mlsecops.com/podcast/ai-governance-essentials-empowering-procurement-teams-to-navigate-ai-risk.
In this episode of the MLSecOps Podcast, Charlie McCarthy from Protect AI sits down with Dr. Cari Miller to discuss the evolving landscapes of AI procurement and governance. Dr. Miller shares insights from her work with the AI Procurement Lab and ForHumanity, delving into the essential frameworks and strategies needed to mitigate risks in AI acquisitions. They cover the AI Procurement Risk Management Framework, practical ways to ensure transparency and accountability, and how the September 2024 OMB Memo M-24-18 is guiding AI acquisition in government. Dr. Miller also emphasizes the importance of cross-functional collaboration and AI literacy to support responsible AI procurement and deployment in organizations of all types.

LLM Guard Open Source Security Toolkit for LLM Interactions

Huntr - The World's First AI/Machine Learning Bug Bounty Platform

Implementing Enterprise AI Governance: Balancing Ethics, Innovation & Risk for Business Success

The MLSecOps Podcast

02/14/25 • 38 min

Full transcript with links to resources available at https://mlsecops.com/podcast/implementing-a-robust-ai-governance-framework-for-business-success

In this episode of the MLSecOps podcast, host Charlie McCarthy sits down with Chris McClean, Global Lead for Digital Ethics at Avanade, to explore the world of responsible AI governance. They discuss how ethical principles, risk management, and robust security practices can be integrated throughout the AI lifecycle—from design and development to deployment and oversight. Learn practical strategies for building resilient AI frameworks, understanding regulatory impacts, and driving innovation safely.

LLM Guard Open Source Security Toolkit for LLM Interactions

Huntr - The World's First AI/Machine Learning Bug Bounty Platform

AI Vulnerabilities: ML Supply Chains to LLM and Agent Exploits

The MLSecOps Podcast

02/24/25 • 24 min

Full transcript with links to resources available at https://mlsecops.com/podcast/ai-vulnerabilities-ml-supply-chains-to-llm-and-agent-exploits

Join host Dan McInerney and AI security expert Sierra Haex as they explore the evolving challenges of AI security. They discuss vulnerabilities in ML supply chains, the risks in tools like Ray and untested AI model files, and how traditional security measures intersect with emerging AI threats. The conversation also covers the rise of open-source models like DeepSeek and the security implications of deploying autonomous AI agents, offering critical insights for anyone looking to secure distributed AI systems.

LLM Guard Open Source Security Toolkit for LLM Interactions

Huntr - The World's First AI/Machine Learning Bug Bounty Platform

AI Security: Map It, Manage It, Master It

The MLSecOps Podcast

03/13/25 • 41 min

Full transcript with links to resources available at https://mlsecops.com/podcast/ai-security-map-it-manage-it-master-it

In part one of our two-part MLSecOps Podcast episode, security veteran Brian Pendleton takes us from his early hacker days to the forefront of AI security. Brian explains why mapping every AI integration is essential for uncovering vulnerabilities. He also dives into the benefits of using SBOMs over model cards for risk management and stresses the need to bridge the gap between ML and security teams to protect your enterprise AI ecosystem.

LLM Guard Open Source Security Toolkit for LLM Interactions

Huntr - The World's First AI/Machine Learning Bug Bounty Platform

Unpacking the Cloud Security Alliance AI Controls Matrix

The MLSecOps Podcast

04/16/25 • 35 min

In this episode of the MLSecOps Podcast, we sit down with three expert contributors from the Cloud Security Alliance’s AI Controls Matrix working group. They reveal how this newly released framework addresses emerging AI threats—like model poisoning and adversarial manipulation—through robust technical controls, detailed implementation guidelines, and clear auditing strategies.

Full transcript with links to resources available at https://mlsecops.com/podcast/unpacking-the-cloud-security-alliance-ai-controls-matrix

LLM Guard Open Source Security Toolkit for LLM Interactions

Huntr - The World's First AI/Machine Learning Bug Bounty Platform

LLM Guard Open Source Security Toolkit for LLM Interactions

Huntr - The World's First AI/Machine Learning Bug Bounty Platform

Autonomous Agents Beyond the Hype

The MLSecOps Podcast

05/14/25 • 24 min

Part 2 with Gavin Klondike dives into autonomous AI agents—how they really work, the attack paths they open, and practical defenses like least-privilege APIs and out-of-band auth. A must-listen roadmap for anyone building—or defending—the next generation of AI applications.

Full transcript with links to resources available at https://mlsecops.com/podcast/autonomous-agents-beyond-the-hype

LLM Guard Open Source Security Toolkit for LLM Interactions

Huntr - The World's First AI/Machine Learning Bug Bounty Platform

Crossroads: AI, Cybersecurity, and How to Prepare for What's Next

The MLSecOps Podcast

10/29/24 • 33 min

In this episode of the MLSecOps Podcast, Distinguished Engineer Nicole Nichols from Palo Alto Networks joins host and Machine Learning Scientist Mehrin Kiani to explore critical challenges in AI and cybersecurity. Nicole shares her unique journey from mechanical engineering to AI security, her thoughts on the importance of clear AI vocabularies, and the significance of bridging disciplines in securing complex systems. They dive into the nuanced definitions of AI fairness and safety, examine emerging threats like LLM backdoors, and discuss the rapidly evolving impact of autonomous AI agents on cybersecurity defense. Nicole’s insights offer a fresh perspective on the future of AI-driven security, teamwork, and the growth mindset essential for professionals in this field.