CompTIA SecAI+

Course Overview

CompTIA SecAI+ is the first certification in our expansion series, designed to help professionals secure, govern and responsibly integrate artificial intelligence into cybersecurity operations. Professional will build the skills to defend AI systems, meet global compliance expectations and use AI to enhance threat detection, automation and innovation—so professionals can strengthen the expertise and help keep organization’s systems and data secure.

Target Audience

CompTIA SecAI+ is intended for professionals who already have hands-on experience in IT and cybersecurity. CompTIA recommends roughly three to four years of general IT experience, including about two years in cybersecurity.

Typical candidates include security engineers, analysts, and operations professionals who are responsible for environments that incorporate AI components, teams that manage AI-enabled security platforms, and professionals who support risk, compliance, and governance initiatives involving AI systems.

SecAI+ is not designed for individuals entering cybersecurity for the first time. It is aimed at practitioners who already understand core security practices and now need to extend those skills into AI-enabled environments.

Skills Learned

Basic AI concepts related to cybersecurity

• 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.

Securing AI systems

• 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

AI-assisted security

•  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.

SI governance, risk, and compliance

• 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

Prerequisites

Recommended for those who have working experience: 3–4 years of general IT experience, with at least 2 years of hands-on cybersecurity experience.

Prior Certifications: It is highly recommended that trainee already hold CompTIA Security+, CySA+, or PenTest+ (or have equivalent knowledge).

Tainee should be comfortable with:

1. Threats, vulnerabilities, and risk management.
2. Security operations (SOC) and compliance fundamentals.
3. Basic cloud and network infrastructure.

Examination

Exam series code : CY0-001

Number of questions : Maximum of 60, multiple-choice and performance-based

Duration : maximum of 60 minutes

Passing score : 600 (on a scale of 100–900)