Master AI and Machine Learning: From Neural Networks to Applications
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Overview
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Learn to architect secure AI agents through a comprehensive 14-minute video tutorial that covers essential security practices and risk mitigation strategies. Discover step-by-step guidance on implementing governance frameworks, role-based access control (RBAC), and DevSecOps principles to protect AI agent deployments. Explore critical security vulnerabilities including prompt injection attacks and data leakage risks, while understanding how to maintain system reliability and regulatory compliance. Master the balance between leveraging AI agent capabilities and maintaining robust security postures through proven architectural patterns and best practices for enterprise-grade AI implementations.
Syllabus
Guide to Architect Secure AI Agents: Best Practices for Safety
Taught by
IBM Technology