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SecAI+

Professional training. Expert instructors. Better value. No compromises.

CY-003 Live Instructor-Led Training
CompTIA CY0-001 5 Days 40 Hours
$2,199

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CompTIA SecAI+ (CY0-001) develops the knowledge and practical skills required to secure artificial intelligence systems, defend against AI-enabled threats, and apply AI responsibly within cybersecurity operations. It is intended for security professionals expanding into AI-related responsibilities and organizations integrating artificial intelligence into their security programs, products, and infrastructure.

Participants examine the security implications of machine learning and artificial intelligence across four areas: foundational AI concepts, AI system security, AI-assisted security operations, and governance, risk, and compliance. Topics include adversarial attacks, model protection, secure Machine Learning Operations (MLOps) pipelines, AI-supported threat detection, incident response automation, and the controls needed to manage privacy, transparency, accountability, and operational risk. The course also addresses frameworks and regulatory requirements such as the NIST AI Risk Management Framework, ISO/IEC 42001, and the European Union Artificial Intelligence Act.

Security analysts, engineers, architects, governance professionals, and other cybersecurity practitioners with several years of experience will find the content directly applicable to their roles. A background comparable to CompTIA Security+ or CySA+ provides a useful foundation. For organizations, SecAI+ training helps teams evaluate AI-related risks, protect AI workloads and data, establish responsible governance practices, and use AI-enabled security tools without introducing unmanaged exposure.

Course Objectives

What you will learn

Domain 1: Basic AI Concepts Related to Cybersecurity

  • Compare and contrast various AI types and techniques used in cybersecurity.
  • Explain the importance of data security in relation to AI.
  • Explain the importance of security throughout the life cycle of AI.

Domain 2: Securing AI Systems

  • Given a scenario, use AI threat-modeling resources.
  • Given a set of requirements, implement security controls for AI systems.
  • Given a scenario, implement appropriate access controls for AI systems.
  • Given a scenario, implement data security controls for AI systems.
  • Given a scenario, implement monitoring and auditing for AI systems.
  • Given a scenario, analyze the evidence of an attack and suggest compensating controls for AI systems.

Domain 3: AI-assisted Security

  • Given a scenario, use AI-enabled tools to facilitate security tasks.
  • Explain how AI enables or enhances attack vectors.
  • Given a scenario, use AI to automate security tasks.

Domain 4: AI Governance, Risk, and Compliance

  • Explain organizational governance structures that support AI.
  • Explain risks associated with AI.
  • Summarize the impact of compliance on business use and development of AI.