The MLSecOps Podcast

In this episode of the MLSecOps Podcast, host Neal Swaelens, along with co-host Oleksandr Yaremchuk, sit down with special guest Simon Suo, co-founder and CTO of LlamaIndex. Simon shares insights into the development of LlamaIndex, a leading data framework for orchestrating data in large language models (LLMs). Drawing from his background in the self-driving industry, Simon discusses the challenges and considerations of integrating...

Learn about the world’s first bug bounty platform for AI & machine learning, huntr, including how to get involved!

This week’s featured guests are leaders from the huntr community (brought to you by Protect AI): 

Dan McInerney, Lead AI Threat Researcher 

Marcello Salvati, Sr. Engineer & Researcher 

Madison Vorbrich, Community Manager 

Thanks for listening! Find more episodes and transcripts at https://bit.ly/MLSecOpsPo...

In this episode of The MLSecOps Podcast hosted by Daryan Dehghanpisheh (Protect AI) and special guest-host Martin Stanley, CISSP (Cybersecurity and Infrastructure Security Agency), we delve into critical aspects of AI security and operations. This episode features esteemed guests, Gary Givental (IBM) and Kaleb Walton (FICO).

The group's discussion unfolds with insights into the evolving field of Machine Learning Secur...

In this episode, we delve into a hot topic in the bug bounty world: ReDoS (Regular Expression Denial of Service) reports. Inspired by reports submitted by the huntr AI/ML bug bounty community and an insightful blog piece by open source expert, William Woodruff (Engineering Director, Trail of Bits), this conversation explores: 

• Are any ReDoS vulnerabilities worth fixing?
• Triaging and the impact of ReDoS reports on software maintai...

In this episode of The MLSecOps Podcast, special guest, Sandy Dunn, joins us to discuss the dynamic world of large language models (LLMs) and the equilibrium of innovation and security. Co-hosts, Daryan “D” Dehghanpisheh and Dan McInerney talk with Sandy about the nuanced challenges organizations face in managing LLMs while mitigating AI risks.

Exploring the swift pace of innovation juxtaposed with the imperative of maintaining robu...

In this episode of The MLSecOps Podcast, Nick James, CEO of WhitegloveAI dives in with show host, Chris King, Head of Product at Protect AI, to offer enlightening insights surrounding:

- AI Governance
- ISO - International Organization for Standardization ISO/IEC 42001:2023-Information Technology, Artificial Intelligence Management System
- Continuous improvement for AI security

Thanks for listening! Find ...

In this episode of The MLSecOps Podcast, VP Security and Field CISO of Databricks, Omar Khawaja, joins the CISO of Protect AI, Diana Kelley. Together, Diana and Omar discuss a new framework for understanding AI risks, fostering a security-minded culture around AI, building the MLSecOps dream team, and some of the challenges that Chief Information Security Officers (CISOs) and other business leaders face when assessing the risk to t...

In this episode, co-hosts Badar Ahmed and Daryan Dehghanpisheh are joined by Drew Farris (Principal, Booz Allen Hamilton) and Edward Raff (Chief Scientist, Booz Allen Hamilton) to discuss themes from their paper, "You Don't Need Robust Machine Learning to Manage Adversarial Attack Risks," co-authored with Michael Benaroch.

Thanks for listening! Find more episodes and transcripts at https://bit.ly/MLSecOpsPodcast.

In this episode, the founder and CEO of The In Vivo Group, Alexander Titus, joins show hosts Diana Kelley and Daryan Dehghanpisheh to discuss themes from his forward-thinking paper, "The Promise and Peril of Artificial Intelligence -- Violet Teaming Offers a Balanced Path Forward," authored with Adam H. Russell.

Thanks for listening! Find more episodes and transcripts at https://bit.ly/MLSecOpsPodcast.

Additional...

*This episode is also available in video format! Click to watch the full YouTube video.*

Welcome to Season 2 of The MLSecOps Podcast!

In this episode, we joined Strategic Technology Branch Chief,  Martin Stanley, CISSP,  from the Cybersecurity and Infrastructure Security Agency (CISA), to celebrate 20 years of Cybersecurity Awareness Month, as well as hear his expert and thoughtful insights about CISA initiatives...

*This episode is also available in video format! Click to watch the full YouTube video.*

Welcome back, everyone, to The MLSecOps Podcast. We’re thrilled to have you with us for Part 2 of our two-part season finale, as we wrap up Season 1 and look forward to an exciting and revamped Season 2.     

In this two-part season recap, we’ve been revisiting some of the most captivating discussions from our first season, offering an ...

*This episode is also available in video format! Click to watch the full YouTube video.*

Welcome to the final episode of the first season of The MLSecOps Podcast, brought to you by the team at Protect AI.

In this two-part episode, we’ll be taking a look back at some favorite highlights from the season where we dove deep into machine learning security operations. In this first part, we’ll be revisiting clips related to thing...

Joining us for the first time as a guest host is Protect AI’s CEO and founder, Ian Swanson. Ian is joined this week by Rob van der Veer, a pioneer in AI and security. Rob gave a presentation at Global AppSec Dublin earlier this year called “Attacking and Protecting Artificial Intelligence” which was a large inspiration for this episode. In it, Rob talks about the lack of security considerations and processes in AI production system...

This week we’re talking about the role of fairness in AI/ML. It is becoming increasingly apparent that incorporating fairness into our AI systems and machine learning models while mitigating bias and potential harms is a critical challenge. Not only that, it’s a challenge that demands a collective effort to ensure the responsible, secure, and equitable development of AI and machine learning systems.

But what does this actually mean ...

Watch the video for this episode at: https://mlsecops.com/podcast/exploring-ai/ml-security-risks-at-black-hat-usa-2023

This episode of The MLSecOps Podcast features expert security leaders who sat down at Black Hat USA 2023 last week with team members from Protect AI to talk about various facets of AI and machine learning security:

- What is the overall state of the AI/ML security realm at this time?
- What is currentl...

Welcome back to The MLSecOps Podcast for this week's episode, “Everything You Need to Know About Hacker Summer Camp 2023.” 

This week, our show is hosted by Protect AI's Chief Information Security Officer, Diana Kelley, and Diana talks with two more longtime security experts, Chloé Messdaghi and Dan McInerney, about all things related to what the security research community fondly refers to as Hacker Summer Camp. 

Welcome to The MLSecOps Podcast, where we dive deep into the world of machine learning security operations. In this episode, we talk with the renowned Katharine Jarmul. Katharine is a Principal Data Scientist at Thoughtworks, and the author of the popular new book, Practical Data Privacy. 

Katharine also writes a blog titled, Probably Private, where she writes about data privacy, data security, and the intersection of data science a...

On this week’s episode from The MLSecOps Podcast, we have the pleasure of hearing from Dr. Jennifer Prendki, founder and CEO of Alectio - The DataPrepOps Company. Alectio’s name comes from a blend of the acronym “AL,” standing for Active Learning, and the Latin term for the word “selection,” which is “lectio.”

In this episode, Dr. Prendki defines DataPrepOps for us and describes its contrasts to MLOps, along with how DataP...

In this episode, we explore the National Institute of Standards and Technology (NIST) white paper, Adversarial Machine Learning: A Taxonomy and Terminology of Attacks and Mitigations. The report is co-authored by our guest for this conversation; Apostol Vassilev, NIST Research Team Supervisor. Apostol provides insights into the motivations behind this initiative and the collaborative research methodology employed by the NIST team.

A...