[align=center]
Comptia Secai+ (cy0-001) Complete Certification Prep
Published 3/2026
Created by Big Data Landscape
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 19 Lectures ( 1h 56m ) | Size: 717 MB[/center]
Master all 4 exam domains: Secure AI systems, defend against AI threats, automate security with AI, and more
What you'll learn
✓ Apply AI concepts to strengthen organizational cybersecurity posture, including ML, deep learning, NLP, and generative AI.
✓ Secure AI systems using advanced controls including prompt firewalls, guardrails, gateway controls, and access management.
✓ Leverage AI technologies to automate security workflows, accelerate incident response, and scale security operations.
✓ Navigate global GRC frameworks including EU AI Act, NIST AI RMF, OECD principles, and GDPR to ensure ethical AI adoption.
✓ Defend against AI-driven threats like adversarial attacks, prompt injection, data poisoning, deepfakes, and malicious generative AI.
✓ Integrate AI securely into DevSecOps pipelines with automated code scanning, testing, and deployment/rollback.
✓ Use threat-modeling frameworks including OWASP Top 10 for LLMs, MITRE ATLAS, and NIST AI RMF to assess AI risks.
✓ Pass the CompTIA SecAI+ (CY0-001) exam on the first attempt with confidence.
Requirements
● General IT experience
● Basic understanding of machine learning concepts (helpful but not required)
Description
This course contains the use of AI
Are you ready to earn the industry's first AI cybersecurity certification?
The CompTIA SecAI+ (CY0-001) exam validates your ability to secure AI systems, leverage AI for threat detection and automation, and navigate the complex landscape of AI governance and compliance. This comprehensive course covers every exam objective across all four domains, with hands-on labs and two full-length practice exams.
What makes this course different
• Mapped 1:1 to official CY0-001 exam objectives
• Hands-on labs: Build secure RAG pipelines, attack & defend LLMs, implement AI gateway controls
• Real-world scenarios: Not just theory, but practical skills for AI security roles
• Two full-length practice exams with detailed explanations
• Coverage of critical frameworks: OWASP LLM Top 10, MITRE ATLAS, NIST AI RMF, EU AI Act
Earn the Industry's First AI Cybersecurity Certification and Future-Proof Your Security Career
AI is reshaping cybersecurity at an unprecedented pace. Organizations are deploying AI-powered security tools, attackers are weaponizing generative AI, and regulators worldwide are introducing new compliance requirements for AI systems. The CompTIA SecAI+ (CY0-001) certification validates that you can secure AI systems, leverage AI for defense, and navigate the complex landscape of AI governance - skills that employers are actively seeking right now.
This course prepares you to pass the CompTIA SecAI+ exam on your first attempt with comprehensive coverage of every exam objective across all four domains.
What makes this course different from everything else
• Master AI security concepts mapped directly to the official CY0-001 exam objectives - every lecture counts
• Build real security tools in hands-on labs: an ML-based network intrusion detector and a secure RAG pipeline with prompt injection defense
• Practice with 2 full-length exams (120+ questions) that simulate real exam conditions with detailed explanations for every answer
• Learn the critical frameworks the exam tests: OWASP Top 10 for LLMs, MITRE ATLAS, NIST AI RMF, and the EU AI Act
• Get a security-first approach built for working professionals - real-world scenarios, not abstract theory
The CompTIA SecAI+ certification launched in February 2026 as CompTIA's first expansion series certification. Early adopters are positioning themselves at the intersection of AI and cybersecurity - two of the fastest-growing fields in technology. Whether you are a security analyst adding AI to your toolkit, a GRC professional navigating new AI regulations, or an IT professional transitioning into AI security, this certification sets you apart.
In this course, you will learn how AI, machine learning, deep learning, and generative AI apply to cybersecurity operations. You will understand supervised, unsupervised, and reinforcement learning paradigms and how each powers different security use cases - from malware classification to anomaly detection to adaptive defense systems. You will explore neural network architectures including CNNs, RNNs, and Transformers, and understand how Large Language Models and Small Language Models are revolutionizing security operations.
You will master prompt engineering from fundamentals through advanced techniques. This includes system prompts, user prompts, roles, prompt templates, zero-shot through multi-shot prompting, chain-of-thought reasoning, prompt chaining for multi-step workflows, and structured outputs for SIEM and SOAR integration. These skills are essential for both using AI tools effectively and defending against prompt injection attacks.
The course covers data security for AI systems in depth: data cleansing, verification, lineage, integrity, and provenance - the controls that prevent data poisoning and ensure compliance. You will learn Retrieval-Augmented Generation (RAG) architecture, including embeddings, vector databases like ChromaDB and Pinecone, and the security implications of connecting LLMs to organizational knowledge bases. You will understand watermarking techniques for detecting AI-generated content, the C2PA standard for content authenticity, and how these connect to EU AI Act requirements.
You will study the complete AI lifecycle from a security perspective: business alignment, secure data collection, model development, evaluation with red-teaming and adversarial testing, deployment with access controls and encryption, and continuous monitoring with drift detection and feedback loops. You will learn human-centric AI design principles - human-in-the-loop, human oversight, and human validation - and understand when to apply each pattern based on risk and reversibility.
The course introduces AI threat modeling with the frameworks that the exam tests directly. You will learn why AI systems require specialized threat modeling beyond traditional approaches, identify the six AI-specific attack surfaces, and understand the four key frameworks: OWASP Top 10 for LLM Applications, OWASP ML Security Top 10, MITRE ATLAS, and the MIT AI Risk Repository.
Hands-on labs give you practical experience that reinforces every concept
• Lab 1: Build an ML-based network traffic classifier using Random Forest on the NSL-KDD dataset - achieving 99.3% accuracy while interpreting precision, recall, F1, and confusion matrices for security decision-making
• Lab 2: Build a secure RAG pipeline with ChromaDB, sentence-transformer embeddings, prompt templates with guardrails, input validation against prompt injection, and output filtering with PII redaction
Two full-length practice exams (120+ questions) with detailed explanations help you identify weak areas and build confidence before exam day. Questions are written in the same scenario-based format as the real exam, covering all four domains with appropriate weighting.
This course is actively growing. New sections covering Domain 2 (Securing AI Systems - 40% of the exam), Domain 3 (AI-Assisted Security), and Domain 4 (AI Governance, Risk & Compliance) are being added regularly. Your enrollment includes lifetime access to all current and future content at no additional cost.
About the CompTIA SecAI+ Exam (CY0-001)
The exam consists of up to 60 questions (multiple-choice and performance-based) with a 60-minute time limit. The passing score is 600 out of 900. It can be taken at Pearson VUE test centers or via online proctoring. CompTIA recommends 3-4 years of general IT experience and approximately 2 years of hands-on cybersecurity experience. The exam voucher costs approximately $425 USD.
Enroll now, start building the skills that employers are searching for, and earn the certification that proves you can secure the AI-powered future.
Who this course is for
■ Security Analysts and SOC Analysts looking to integrate AI into their workflows
■ Security Engineers and Architects designing secure AI implementations
■ IT professionals transitioning into AI security roles
■ DevSecOps engineers integrating AI into CI/CD pipelines
■ Anyone pursuing the CompTIA SecAI+ certification