CompTIA SecAI+ Training
Jacksonville professionals earn CompTIA SecAI+ through the University of North Florida's Professional and Lifelong Learning partnership with Applied Technology Academy. This is CompTIA's new certification for securing AI systems and putting AI to work inside security operations, delivered live online or in person by ATA's practitioner instructors.
Coursework centers on AI threat landscapes, securing machine-learning pipelines, AI-assisted detection and response, and governance of AI tooling — the preparation Northeast Florida employers expect for security professionals adding AI capability to their skill set. UNF PLL students get ATA's hands-on labs, unlimited mentoring and 5-star student support from first class to certification.
The UNF Professional and Lifelong Learning team handles enrollment — pick a session below or reach out and we'll map your schedule, funding and prep together.
Course Overview
CompTIA SecAI+ will be 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.
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.
Intended Audience
- Cybersecurity Analysts
- Cybersecurity Engineers
- Information Security Analyst
Prerequisites
3–4 years in IT, inclusive of 2+ years hands-on cybersecurity; Security+, CySA+, PenTest+, or equivalent recommended.