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EMC D-AIS-F-A-00 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Threats and Vulnerabilities in AI Systems | 20% | - Adversarial attacks and data poisoning - Model inversion, prompt injection, and manipulation - Privacy and integrity risks |
| AI Security Fundamentals | 20% | - Security principles for AI - AI system components and architecture - Risk identification in AI environments |
| AI Governance and Risk Management | 15% | - Security policies and frameworks - Risk management across AI lifecycle |
| Secure Deployment and Operations | 10% | - Security integration in deployment pipelines - Monitoring, incident response, and recovery |
| Model Security and Integrity | 15% | - Validation, testing, and monitoring - Protecting models from tampering and theft |
| Data Protection and Privacy in AI | 20% | - Data lifecycle security - Securing training and inference data - Privacy-by-design and compliance |
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