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Training
Certificate
Course Information
Course Name
SecAI+: CompTIA SecAI+
Exam code
CY0-001
Duration
5 Days
Certification
Overview
Audience Profile
Prerequisities
At Course Completion
Course Outline
Overview
CompTIA SecAI+ is a vendor-neutral expansion certification that validates your ability to secure AI systems, defend against AI‑driven threats, and use AI responsibly in cybersecurity operations. It’s designed for practitioners who already understand core cybersecurity and want to apply that expertise in AI‑augmented environments.
Overview
Overview
CompTIA SecAI+ is a vendor-neutral expansion certification that validates your ability to secure AI systems, defend against AI‑driven threats, and use AI responsibly in cybersecurity operations. It’s designed for practitioners who already understand core cybersecurity and want to apply that expertise in AI‑augmented environments.
Audience Profile
Audience Profile
You should consider SecAI+ if you already work in cybersecurity—such as a security analyst, SOC analyst, penetration tester, cloud engineer, DevSecOps engineer or risk and compliance professional—and you hold a core cybersecurity certification like Security+, CySA+, PenTest+ or SecurityX, or have equivalent hands-on experience.
Prerequisities
Prerequisites
There are no formal prerequisites, but CompTIA recommends 3–4 years of IT experience, including at least 2 years of hands-on cybersecurity experience, plus familiarity with AI-enabled security tools. Having a core certification such as Security+, CySA+, PenTest+ or SecurityX (or equivalent experience) will make SecAI+ much more approachable for you.
At Course Completion
At Course Completion
You’ll learn 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.
Course Outline
Course Outline
Module 1: 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.
Module 2: 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.
Module 3: 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.
Module 4: AI 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.
