AI-Native TrainingModule 7
Learning Objectives
Understand AI security threats and mitigations
Implement responsible AI practices
Ensure fairness, transparency, and accountability
Comply with AI regulations and standards
Topics Covered
1
AI Security (AISec)
Threat landscape and security best practices
Prompt injection, data poisoning, adversarial attacks
Input validation and output filtering
Secure API design and access control
2
Responsible AI Principles
Fairness, transparency, accountability, privacy, safety
Bias detection and mitigation
Explainable AI (XAI) techniques
Red teaming and adversarial testing
3
AI Governance and Compliance
Regulatory landscape and governance frameworks
EU AI Act, GDPR, industry-specific regulations
AI ethics committees and approval processes
Incident response and continuous monitoring
Hands-On Projects
Security Assessment
advanced3 hours
Conduct security assessment of AI application
Bias Detection
advanced3 hours
Implement bias detection and mitigation
Governance Framework
advanced2 hours
Design AI governance framework