AI Security for DevOps Beginners

Equip yourself with the essential skills to secure AI-powered DevOps environments, from threat modeling to incident response.

Understanding the AI Security Landscape in DevOps

Unit 1: AI Security Fundamentals

Unit 2: AI Security Challenges in DevOps

Unit 3: AI Security Frameworks and Standards

Secure Coding Practices for AI-Integrated Applications

Unit 1: Preventing Prompt Injection Attacks

Unit 2: Mitigating Data Poisoning Attacks

Unit 3: Defending Against Model Evasion Attacks

Unit 4: Differential Privacy Techniques

Integrating AI Security into the CI/CD Pipeline

Unit 1: Automated Vulnerability Scanning for AI Models

Unit 2: Anomaly Detection for AI Processes

Unit 3: Automated Security Testing for AI Apps

Securing AI Model Deployment and Management

Unit 1: Access Control and Versioning for AI Models

Unit 2: Monitoring and Logging for Adversarial Attacks

Unit 3: Secure Model Updates and Rollbacks

Unit 4: Robust Logging and Auditing

Incident Response and Security Frameworks for AI in DevOps

Unit 1: AI Security Incident Response Planning

Unit 2: AI Security Frameworks and Standards

Unit 3: AI Security Forensics