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CompTIA SecAI+ is the global IT industry’s first comprehensive “expansion” certification focused on the security of artificial intelligence systems and the secure application of AI in cybersecurity operations. This certification equips professionals with critical, vendor-neutral skills to understand, defend, and ethically deploy AI technologies within any organization.

Apply foundational and advanced AI concepts to strengthen organizational cybersecurity. Implement robust security controls and best practices for protecting AI systems and data. Leverage AI-driven tools to enhance threat detection, response, and automation of security operations. Navigate global governance, risk, and compliance frameworks to ensure responsible AI adoption.
Virtual Instructor-Led Training 3 days / 24 hours

Who should attend CompTIA SecAI+ Course

Ideal for those who currently hold a CompTIA cybersecurity certification (such as Security+, CySA+, PenTest+, etc.) or equivalent experience, and are looking to expand their skill set for evolving job roles in the context of AI technologies

Prerequisites for CompTIA SecAI+ Course

This is equivalent to 3–4 years of IT experience with approximately 2 years of hands-on cybersecurity experience.

CompTIA SecAI+ Course Outline


Resources

FAQs on CompTIA SecAI+

This course is ideal for professionals who already hold a CompTIA cybersecurity certification (such as Security+, CySA+, or PenTest+) or have equivalent experience, and who want to expand their skills to address AI-related security challenges in evolving job roles.

Participants should have approximately 3–4 years of IT experience, including about 2 years of hands-on cybersecurity experience, along with a foundational cybersecurity certification or equivalent knowledge.

The course covers AI and data concepts for cybersecurity, threat modeling and securing AI systems, and access controls for AI, including topics like machine learning, prompt engineering, model guardrails, encryption, and API security.

Learners will apply AI concepts to strengthen cybersecurity, implement security controls to protect AI systems and data, use AI-driven tools for threat detection and response automation, and navigate governance, risk, and compliance frameworks for responsible AI adoption.

It builds on existing cybersecurity certifications by adding AI-specific security expertise, preparing professionals for emerging job roles that require securing AI systems, data, and infrastructure in modern organizations.