Security AI Plus - SecAI+

Class Overview
AI is changing how security teams work and how attackers operate. CompTIA’s SecurityAI Plus
(SecAI+) is an expansion certification that helps you keep pace by building on the cybersecurity knowledge you already have, whether from certifications like Security+, CySA+, PenTest+, or SecurityX or from equivalent industry experience.
SecAI+ helps you build practical AI security and automation skills on top of your existing expertise, and build the skills to defend AI systems, meet global compliance expectations and use AI to enhance threat detection, automation and innovation so that you can strengthen your expertise and help keep your organization’s systems and data secure. You will learn to secure AI deployments, use AI‑assisted security tools with confidence, and stay ready for the next step in your cybersecurity career.
CompTIA SecAI+ is the first certification in CompTIA’s expansion series, designed to help you secure, govern and responsibly integrate artificial intelligence into your cybersecurity operations.
Job roles that benefit from SecAI+ skills:
> Security Analyst – Turn AI into an ally for threat detection and incident response, using it to surface patterns, model attacker behavior and act on threats more quickly.
> Cloud Engineer – Confidently design and maintain cloud environments that host AI workloads and data, with controls that support both security and compliance.
> SOC Analyst – Strengthen day‑to‑day operations in the SOC by using AI to flag anomalies, reduce alert fatigue and streamline how security events are handled.
> Penetration Tester / Security Consultant – Add AI systems to your testing playbook, evaluating models and data pipelines for unique vulnerabilities and providing clearer risk guidance to stakeholders.
> Senior Systems Administrator – Support AI projects running on the infrastructure you manage by understanding their governance, risk and compliance needs.
> Data Scientist / ML Engineer – Build and deploy models with stronger protections around training data, pipelines and outputs, while collaborating more smoothly with security teams.
> DevSecOps / CI/CD Engineer – Extend existing DevOps practices with AI‑aware security checks and automated tests that run before code or models reach production.
> Risk & Compliance Officer – Apply frameworks like GDPR and NIST AI RMF to real AI use cases, helping your organization meet legal and regulatory expectations.
> Military Cyber Operations Specialist – Defend mission‑critical AI and ML systems and better understand how adversaries might use AI in contested environments.
Class Details
Objectives
After taking this training, the student should be able to:
• Apply AI concepts to strengthen your organization’s cybersecurity posture.
• Secure AI systems using advanced controls and protections to safeguard data, models, and infrastructure.
• Leverage AI technologies to automate workflows, accelerate incident response, and scale security operations.
• Navigate global GRC frameworks to ensure ethical and compliant AI adoption across industries.
• Defend against AI-driven threats like adversarial attacks, automated malware, and malicious use of generative AI.
• Integrate AI securely into DevSecOps pipelines and enterprise security strategies.
Prerequisite Knowledge Advisory
Although there are no formal prerequisites, before taking this class you should have:
- 3-4 years of IT experience, with 2 years hands-on Cybersecurity.
- Advisory: CompTIA Sec+, CySA+, or PenTest+ certification.
Required Exam for SecurityAI+ Certification
Exam: CY0-001
Proctor: PearsonVUE
Recertification: 3 years
SecurityAI+ Training Class Outline
Module 1: AI and Data Concepts for Cybersecurity
Module 2: Threat Modeling and Securing AI Systems
Module 3: Access Controls for AI
Module 4: AI Threats and Compensating Controls
Module 5: Leveraging AI in Security Operations
Module 6: AI Governance, Risk, and Compliance


