MLSecOps and Shift-Left Security in Machine Learning Model Lifecycle
Learn to integrate security into machine learning model lifecycles using MLSecOps. Explore shift-left security practices, address vulnerabilities early, and implement effective risk management in ML projects.
Building AI Security In - MLSecOps in Practice
Learn to secure AI and ML systems by integrating security into the Machine Learning lifecycle, leveraging DevSecOps principles to create a robust MLSecOps framework.
DevSecOps for AI: Introducing MLSecOps for Software 2.0
Explore MLSecOps for AI-driven software development, addressing security challenges and best practices in the evolving landscape of Software 2.0.
MLSecOps with Automated Online and Offline ML Model Evaluations on Kubernetes
Explore automated ML model evaluations on Kubernetes, focusing on MLSecOps practices for enhanced security and efficiency in both online and offline scenarios.
Flawed Machine Learning Security - Alejandro Saucedo
Explore critical security flaws in ML lifecycle and learn prevention strategies. Gain insights on MLSecOps, challenges in production systems, and OWASP Top 10 for Machine Learning from an industry expert.
Flawed ML Security: Mitigating Security Vulnerabilities in Data and Machine Learning Infrastructure with MLSecOps
Explore security vulnerabilities in machine learning infrastructure and learn practical strategies for mitigating risks using MLSecOps. Gain insights on RBAC, encryption, and best practices for robust ML systems.
MLSecOps - Automated Online and Offline ML Model Evaluations on Kubernetes
Explore MLSecOps on Kubernetes: Automate real-time and offline ML model evaluations using KServe, Knative, Apache Kafka, and Trusted-AI tools for enhanced security and monitoring in production environments.
The Five Pillars of MLSecOps - Episode 134
Explore the five pillars of ML SecOps with Ian Swanson: supply chain vulnerabilities, model provenance, GRC, trusted AI, and adversarial machine learning. Learn to secure AI systems and comply with emerging regulations.