Learning Objectives
AI Concepts and Lifecycle
Understand foundational principles of Artificial Intelligence (AI) and Machine Learning (ML), including Large Language Models (LLMs), neural networks, and the AI development lifecycle, to identify unique security challenges in AI supply chains.
Securing AI Systems and Infrastructure
Gain proficiency in implementing security controls for AI environments, including protecting model weights, securing MLOps pipelines, applying data sanitization techniques, and establishing robust identity and access management for AI workloads.
Defending Against AI-Specific Threats
Analyze and mitigate adversarial attacks targeting AI models, such as prompt injection, data poisoning, model inversion, and evasion attacks, while implementing guardrails to prevent hallucinations and abuse.
AI-Assisted Security Operations
Learn to leverage AI and ML tools to enhance defensive cybersecurity operations, including automating incident response, improving threat detection accuracy, and utilizing AI-driven analysis for Security Operations Center (SOC) efficiency.
AI Governance, Risk, and Compliance (GRC)
Understand global regulatory frameworks (such as the EU AI Act and NIST AI RMF) and apply governance strategies to ensure ethical, compliant, and responsible AI deployment, managing risks related to bias, privacy, and data leakage.
- Intellectual Point's CompTIA SecAI+ Training Program provides learners with the specialized skills needed to secure the intersection of cybersecurity and artificial intelligence. This program is designed to bridge the gap between traditional security and emerging AI technologies, teaching you how to protect AI systems while leveraging AI tools for defense. It aims to prepare you for the SecAI+ certification, ensuring you are ready to tackle the unique challenges of the modern, AI-driven threat landscape.
- Throughout the training, you will explore the complete AI security lifecycle, from securing training data and models to implementing real-time guardrails for Generative AI. You will delve deep into adversarial machine learning defenses and learn how to operationalize AI for threat detection and incident response. By the end of the program, you will be adept at identifying AI-specific vulnerabilities, ensuring compliance with AI regulations, and optimizing security workflows with intelligent automation. By the end of this program, participants will:
- 1) Secure AI/ML systems, data pipelines, and deployment environments against unauthorized access and tampering.
- 2) Identify and mitigate AI-specific threats, including prompt injection, model poisoning, and adversarial evasion.
- 3) Leverage AI-driven tools to automate security tasks, enhance threat hunting, and improve SOC efficiency.
- 4) Apply AI governance frameworks and compliance standards to ensure responsible and ethical AI use.
- 5) Prepare for and achieve the CompTIA SecAI+ certification, validating your expertise in the future of cybersecurity.
Module by Module Learning Outline
Tuition & Hours
Tuition is charged by course. The cost of the certification exam is not included in the tuition and is a separate cost based on the current rates as set by the exam vendor.
| Course | Total Hours | Tuition |
|---|---|---|
| SEC-30F: CompTIA SecAI+ | 72 | $3,999.00 |
Books & Supplies
There are no additional charges for books or supplies.
Indirect Costs
If you wish to obtain the Certified Ethical Hacker (CEH) certification exam, the cost is an additional fee not covered in tuition. While encouraged, the exam is not a required expense to be paid at the time of enrollment. To obtain an exam voucher, you will need to purchase it separately.
| Course | Exam | Exam Fee |
|---|---|---|
| SEC-30F: CompTIA SecAI+ | CompTIA SecAI+ | $359 |
Program Award
Upon successful completion of the program, the student will receive a Certificate of Completion for CompTIA SecAI+ Training.
* Exam fees are quoted based on time of publication. Voucher prices may change based on vendor rates and are updated accordingly. Please contact Intellectual Point to verify exam fee charges.
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