This practitioner-grade guide prepares cybersecurity professionals to secure modern artificial intelligence systems with confidence. Built around the CompTIA SecAI+ certification framework, it transforms complex AI security concepts into structured, operational knowledge that aligns with real-world risk environments.

Covering the full lifecycle of AI systems from data ingestion to model deployment, this book explains how machine learning environments introduce new attack surfaces and why traditional security controls must evolve to address them. Readers gain hands-on awareness of modern adversarial techniques including data poisoning, prompt injection, model extraction, and supply-chain compromise.

Structured around exam-aligned domains, the material emphasizes decision-making logic, threat recognition, defensive architecture, and governance alignment. Instead of relying on memorization, it trains the reader to think like an AI security practitioner, identifying risks, selecting controls, and maintaining system integrity across dynamic environments.

Ideal for cybersecurity analysts, engineers, developers, governance specialists, and IT professionals transitioning into AI-driven security roles, this guide serves both as a certification preparation resource and a long-term operational reference for securing machine learning infrastructure.

Bonus Content:

After completing COMPTIA SECAI+, you will need the practical knowledge to defend AI systems which you can find in the additional material "AI Security Defence Guide" that you can download along with COMPTIA SECAI+ study notes.

Format: PDF

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