The MLSecOps Podcast
MLSecOps.com
Episodes
AI Threat Research: Spotlight on the Huntr CommunityMarch 13, 2024
Securing AI: The Role of People, Processes & Tools in MLSecOpsFebruary 29, 2024
ReDoS Vulnerability Reports: Security Relevance vs. Noisy NuisanceFebruary 27, 2024
Finding a Balance: LLMs, Innovation, and SecurityFebruary 15, 2024
Secure AI Implementation and GovernanceFebruary 13, 2024
Risk Management and Enhanced Security Practices for AI SystemsFebruary 06, 2024
Evaluating Real-World Adversarial ML Attack Risks and Effective Management: Robustness vs Non-ML MitigationsNovember 28, 2023
From Risk to Responsibility: Violet Teaming in AI; With Guest: Alexander TitusOctober 24, 2023
Cybersecurity of Tomorrow: Exploring the Future of Security and Governance for AI Systems; With Guest: Martin Stanley, CISSPOctober 17, 2023
AI/ML Security in Retrospect: Insights from Season 1 of The MLSecOps Podcast (Part 2)September 21, 2023
AI/ML Security in Retrospect: Insights from Season 1 of The MLSecOps Podcast (Part 1)September 19, 2023
A Holistic Approach to Understanding the AI Lifecycle and Securing ML Systems: Protecting AI Through People, Processes & Technology; With Guest: Rob van der VeerSeptember 05, 2023
ML Model Fairness: Measuring and Mitigating Algorithmic Disparities; With Guest: Nick SchmidtAugust 18, 2023
Exploring AI/ML Security Risks: At Black Hat USA 2023 with Protect AIAugust 17, 2023
Everything You Need to Know About Hacker Summer Camp 2023August 03, 2023
Privacy Engineering: Safeguarding AI & ML Systems in a Data-Driven Era; With Guest Katharine JarmulJuly 12, 2023
The Intersection of MLSecOps and DataPrepOps; With Guest: Jennifer Prendki, PhDJune 21, 2023
The Evolved Adversarial ML Landscape; With Guest: Apostol Vassilev, NISTJune 14, 2023
Navigating the Challenges of LLMs: Guardrails AI to the Rescue; With Guest: Shreya RajpalJune 07, 2023
Indirect Prompt Injections and Threat Modeling of LLM Applications; With Guest: Kai GreshakeMay 24, 2023
Responsible AI: Defining, Implementing, and Navigating the Future; With Guest: Diya WynnMay 17, 2023
ML Security: AI Incident Response Plans and Enterprise Risk Culture; With Guest: Patrick HallMay 10, 2023
AI Audits: Uncovering Risks in ML Systems; With Guest: Shea Brown, PhDMay 03, 2023
MLSecOps: Red Teaming, Threat Modeling, and Attack Methods of AI Apps; With Guest: Johann RehbergerApril 26, 2023
MITRE ATLAS: Defining the ML System Attack Chain and Need for MLSecOps; With Guest: Christina Liaghati, PhDApril 18, 2023