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#MLSecOps

Showing: 8 courses
MLOps World: Machine Learning in Production

MLSecOps and Shift-Left Security in Machine Learning Model Lifecycle

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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.
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1 Lesons
47 minutes
On-Demand
Free-Video
Cloud Security Alliance

Building AI Security In - MLSecOps in Practice

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Learn to secure AI and ML systems by integrating security into the Machine Learning lifecycle, leveraging DevSecOps principles to create a robust MLSecOps framework.
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1 Lesons
30 minutes
On-Demand
Free-Video
Conf42

DevSecOps for AI: Introducing MLSecOps for Software 2.0

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Explore MLSecOps for AI-driven software development, addressing security challenges and best practices in the evolving landscape of Software 2.0.
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2 Lesons
42 minutes
On-Demand
Free-Video
Linux Foundation

MLSecOps with Automated Online and Offline ML Model Evaluations on Kubernetes

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Explore automated ML model evaluations on Kubernetes, focusing on MLSecOps practices for enhanced security and efficiency in both online and offline scenarios.
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1 Lesons
40 minutes
On-Demand
Free-Video
Open Data Science

Flawed Machine Learning Security - Alejandro Saucedo

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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.
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8 Lesons
39 minutes
On-Demand
Free-Video
CNCF [Cloud Native Computing Foundation]

Flawed ML Security: Mitigating Security Vulnerabilities in Data and Machine Learning Infrastructure with MLSecOps

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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.
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1 Lesons
28 minutes
On-Demand
Free-Video
Linux Foundation

MLSecOps - Automated Online and Offline ML Model Evaluations on Kubernetes

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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.
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17 Lesons
32 minutes
On-Demand
Free-Video
DevSecCon

The Five Pillars of MLSecOps - Episode 134

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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.
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1 Lesons
1 hour 2 minutes
On-Demand
Free-Video