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EMC D-AIS-F-A-00 Exam Syllabus Topics:

Section	Weight	Objectives
Recover from Cyberattack	24%	- AI Security Recovery and Resilience 1. Isolation and containment strategies 2. Incident management and recovery planning 3. Forensic investigation and root cause analysis 4. Post-incident recommendations and remediation
Detect and Respond to Cyber Attacks	24%	- AI Threat Detection and Response 1. Monitoring AI system misuse 2. Incident response for AI security events 3. Detection of AI-specific threats 4. Security event analysis and response workflows
Reduce the Attack Surfaces	26%	- AI Security Risk Reduction 1. AI security controls and safeguards 2. AI workflow and ecosystem risks (data, model, infrastructure) 3. Mitigation strategies for AI environments 4. Model vulnerabilities and behavior risks
Introduction to AI Security	26%	- AI Security Fundamentals 1. AI ethics principles and security implications 2. Basic mitigation strategies for AI security threats 3. Common AI security threats (adversarial, prompt injection, poisoning, etc.) 4. Security concerns in AI systems 5. AI & security terminology 6. Differences between securing AI vs traditional applications 7. Data and application classification concepts 8. Data security and privacy requirements in AI systems