CompTIA SecAI +

COURSE DESCRIPTION

CompTIA SecAI+ the first certification in our new expansion series, designed to help you secure, govern, and responsibly integrate artificial intelligence into cybersecurity operations. Gain the skills to defend AI systems, meet global compliance standards, and use AI to enhance threat detection, automation, and innovation while strengthening organizational resilience. The official certification exam was launched on February 17, 2026.

CERTIFICATION

Basic AI concepts related to cybersecurity (17%)

Securing AI systems (40%)

AI-assisted security (24%)

AI governance, risk, and compliance (19%)

LEARNING OUTCOMES

• Explain core AI principles and terminology: Machine learning, deep learning, natural language processing, and automation.
• Identify AI applications in security: Use cases for AI in threat detection, defense, and security operations.
• Recognize AI-driven threats: Automated phishing, polymorphic malware, adversarial machine learning, and malicious use of generative AI.
• Implement security controls: Protect AI systems, data, and models using robust technical safeguards.
• Secure AI deployment environments: Apply best practices across on-premises, cloud, and hybrid infrastructures.
• Mitigate adversarial risks: Defend against attacks targeting AI models, data pipelines, and inference layers.
• Enhance detection and response: Use AI-driven tools to identify anomalies, detect threats, and accelerate incident remediation.
• Automate security workflows: Integrate AI for event triage, alert correlation, and response orchestration.
• Apply AI techniques in operations: Incorporate AI into threat modeling, behavior analysis, and continuous monitoring.
• Understand regulatory frameworks: Identify global governance requirements and their implications for AI adoption.
• Integrate GRC into AI projects: Incorporate governance, risk management, and compliance practices throughout the AI lifecycle.
• Ensure responsible AI use: Apply ethical guidelines, legal standards, and industry frameworks such as GDPR and NIST AI RMF.