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 systems compared to traditional software development, and the unique challenges and particularities of building security into AI and machine learning systems.
Together in this episode, Ian and Rob dive into things like practical threats to ML systems, the transition from MLOps to MLSecOps, the [upcoming] ISO 5338 standard on AI engineering, and what organizations can do if they are looking to mature their AI/ML security practices.
This is a great dialogue and exchange of ideas overall between two super knowledgeable people in this industry. So thank you so much to Ian and to Rob for joining us on The MLSecOps Podcast this week.
Thanks for listening! Find more episodes and transcripts at https://bit.ly/MLSecOpsPodcast.
Additional tools and resources to check out:
Protect AI Radar: End-to-End AI Risk Management
Protect AI’s ML Security-Focused Open Source Tools
LLM Guard - The Security Toolkit for LLM Interactions
Huntr - The World's First AI/Machine Learning Bug Bounty Platform
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 systems compared to traditional software development, and the unique challenges and particularities of building security into AI and machine learning systems.
Together in this episode, Ian and Rob dive into things like practical threats to ML systems, the transition from MLOps to MLSecOps, the [upcoming] ISO 5338 standard on AI engineering, and what organizations can do if they are looking to mature their AI/ML security practices.
This is a great dialogue and exchange of ideas overall between two super knowledgeable people in this industry. So thank you so much to Ian and to Rob for joining us on The MLSecOps Podcast this week.
Thanks for listening! Find more episodes and transcripts at https://bit.ly/MLSecOpsPodcast.
Additional tools and resources to check out:
Protect AI Radar: End-to-End AI Risk Management
Protect AI’s ML Security-Focused Open Source Tools
LLM Guard - The Security Toolkit for LLM Interactions
Huntr - The World's First AI/Machine Learning Bug Bounty Platform