MLSecOps Culture: Considerations for AI Development and Security Teams

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.

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

Recon: Automated Red Teaming for GenAI

Protect AI’s ML Security-Focused Open Source Tools

LLM Guard Open Source Security Toolkit for LLM Interactions

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

Send us a text

Recon: Automated Red Teaming for GenAI

Protect AI’s ML Security-Focused Open Source Tools

LLM Guard Open Source Security Toolkit for LLM Interactions

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

Previous Episode

Practical Offensive and Adversarial ML for Red Teams

Send us a text

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).

Recon: Automated Red Teaming for GenAI

Protect AI’s ML Security-Focused Open Source Tools

LLM Guard Open Source Security Toolkit for LLM Interactions

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

Next Episode

Exploring Generative AI Risk Assessment and Regulatory Compliance

Send us a text

In this episode of the MLSecOps Podcast we have the honor of talking with David Rosenthal, Partner at VISCHER (Swiss Law, Tax & Compliance). David is also an author & former software developer, and lectures at ETH Zürich & the University of Basel.
He has more than 25 years of experience in data & technology law and kindly joined the show to discuss a variety of AI regulation topics, including the EU Artificial Intelligence Act, generative AI risk assessment, and challenges related to organizational compliance with upcoming AI regulations.

Recon: Automated Red Teaming for GenAI

Protect AI’s ML Security-Focused Open Source Tools

LLM Guard Open Source Security Toolkit for LLM Interactions

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