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CompTIA SecAI+ (CY0-001) Certification Prep & Complete Training

CompTIA SecAI+ (CY0-001) Certification Prep & Complete Training: Master AI Security with CompTIA SecAI+ Certification

Avnish Singh

Pavan Kumar

$149.99

Video Feb 2026 28hrs 45mins 1st Edition

Renews at $19.99p/m

Avnish Singh

Pavan Kumar

$149.99

Video Feb 2026 28hrs 45mins 1st Edition

Renews at $19.99p/m

Renews at $19.99p/m

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Download this video in MP4 format

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Key benefits

Comprehensive coverage of AI security fundamentals
Focus on practical application of AI security tools and techniques
In-depth learning of AI threat modeling and data security measures

Description

This course offers a comprehensive guide to mastering AI security, designed to equip you with the necessary skills to take the CompTIA SecAI+ certification exam. It begins by covering the core AI techniques, from machine learning to generative AI, followed by deep dives into NLP and data security principles. The journey through the course progresses with practical insights into AI security lifecycle management, threat modeling, and effective use of AI tools. In the second part, the course delves into data security, encryption, and AI attack vectors, providing a complete toolkit for securing AI systems. From training models to understanding threat mitigation, you’ll explore essential AI security practices. With a focus on hands-on quizzes, you’ll not only acquire the technical knowledge but also sharpen your strategic approach to dealing with real-world AI security challenges. By the end of the course, you'll have the skills to manage AI security at multiple levels, ensuring you're well-prepared for any AI security-related challenges. This course is ideal for professionals aiming to advance their careers in AI security and IT management.

Who is this book for?

This course is perfect for IT professionals, cybersecurity experts, and anyone interested in pursuing CompTIA SecAI+ certification. Basic understanding of AI concepts is recommended, but no prior AI security expertise is necessary.

What you will learn

Understand AI security and its real-world applications
Gain hands-on experience with AI threat modeling
Master encryption techniques for AI data
Develop skills in AI attack vectors and mitigation strategies
Learn to secure AI systems from inception to deployment
Effectively implement AI security controls and best practices

What do you get with a video?

Download this video in MP4 format

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

Product Details

Last updated date : Feb 26, 2026

Publication date : Feb 25, 2026

Length: 28hrs 45mins

Edition : 1st

Language : English

ISBN-13 : 9781807602994

Category :

Programming

Concepts :

Programming Language

Table of Contents

26 Chapters

Introduction

Welcome to the Course – CompTIA SecAI+ AI Security

Understanding the CompTIA SecAI+ Certification

SecAI+ Exam Structure and Strategy

What Makes This Course Exceptional for SecAI+

CompTIA SecAI+ AI Types and Techniques Certification Exam Guide

Understanding Artificial Intelligence Fundamentals

Generative AI Explained for AI Security

Machine Learning Basics for AI Security

Statistical Learning Fundamentals for AI

Transformers Architecture in AI Security

Deep Learning Essentials for AI Security

CompTIA SecAI+ NLP and Language Models Certification Guide

Natural Language Processing NLP Overview

Large Language Models LLMs for AI Security

Small Language Models SLMs in AI Security

Generative Adversarial Networks GANs Explained

CompTIA SecAI+ Model Training Techniques Certification Guide

Model Validation Strategies for AI Security

Supervised Learning Explained

Unsupervised Learning Techniques

Reinforcement Learning Fundamentals

Epoch Pruning and Quantization Techniques

CompTIA SecAI+ Prompt Engineering Certification Exam Guide

Introduction to Prompt Engineering for AI

System and User Prompts in AI

Zero-Shot One-Shot and Multi-Shot Prompting

System Roles and Templates in AI

CompTIA SecAI+ Data Security for AI Certification Guide

Data Processing Fundamentals in AI

Data Cleansing and Verification in AI

Data Lineage and Provenance in AI

Data Integrity and Augmentation Techniques

Data Balancing Techniques for AI

CompTIA SecAI+ AI Data Types and Structures Guide

Structured Data in AI Systems

Semi-Structured and Unstructured Data

Watermarking Techniques for AI Data

CompTIA SecAI+ Retrieval-Augmented Generation Certification Guide

RAG Architecture Explained for AI Security

Vector Storage and Embeddings in AI

CompTIA SecAI+ AI Security Lifecycle Certification Guide

Business Use Case Alignment for AI

Data Collection for AI Systems

Data Preparation and Model Development

Model Evaluation and Deployment

Validation Monitoring and Maintenance

Feedback Iteration and Human-Centric Design

CompTIA SecAI+ AI Threat Modeling Certification Guide

Introduction to AI Threat Modeling

OWASP Machine Learning Security Top 10

OWASP LLM Top 10 for AI Security

MIT AI Risk Repository

MITRE ATLAS Framework for AI Security

CVE AI Working Group

Threat Modeling Frameworks Explained

CompTIA SecAI+ AI Security Controls Certification Guide

Model Controls Overview for AI Security

Model Evaluation Controls in AI Security

Model Guardrails for AI Systems

Gateway Controls in AI Security

Prompt Firewalls for AI Protection

Rate Limits and Token Limits in AI

Input Quotas Data Size and Quantity

Modality Limits in AI Systems

Endpoint Access Controls for AI

Guardrail Testing and Validation

CompTIA SecAI+ AI Access Controls Certification Guide

Model Access Controls for AI

Data Access Controls in AI Systems

Agent Access Controls in AI

Network and API Access Controls

CompTIA SecAI+ AI Data Security Controls Guide

Encryption Requirements Overview

Data Encryption at Rest in AI

Data Encryption in Use for AI

Data Encryption in Transit

Data Anonymization Techniques

Data Classification and Labeling

Data Redaction and Masking

Data Minimization Principles

CompTIA SecAI+ AI Monitoring and Auditing Guide

Prompt Monitoring for AI Systems

Log Monitoring for AI

Log Sanitization and Protection

Response Confidence Level Monitoring

Rate Monitoring in AI Systems

AI Cost Monitoring

Auditing for Quality and Compliance

CompTIA SecAI+ AI Attack Vectors Certification Guide

Prompt Injection Attacks in AI

Poisoning Attacks Model and Data

Jailbreaking AI Models

AI Hallucinations Security Impact

Input Manipulation Attacks

Introducing Biases in AI Systems

Circumventing AI Guardrails

Manipulating Application Integrations

Model Inversion Attacks

Model Theft Attacks

AI Supply Chain Attacks

Transfer Learning Attacks

Model Skewing Attacks

Output Integrity Attacks

Membership Inference Attacks

Model Denial of Service DoS

Sensitive Information Disclosure

Insecure Plugin Design

Excessive Agency in AI Systems

Overreliance on AI Systems

CompTIA SecAI+ AI Compensating Controls Guide

Implementing Prompt Firewalls

Applying Model Guardrails

Access Control Implementation

Data Integrity Controls

Encryption Implementation

Implementing Least Privilege

Rate Limiting Strategies

Prompt Template Security

CompTIA SecAI+ AI-Enabled Security Tools Guide

Overview of AI Security Tools

Browser Plug-ins for Security

CLI Plug-ins for Security

AI Chatbots for Security

Personal AI Assistants

IDE Plug-ins for Secure Coding

Model Context Protocol MCP Servers

CompTIA SecAI+ AI Security Use Cases Guide

Signature Matching with AI

Code Quality and Linting

AI-Driven Vulnerability Analysis

Automated Penetration Testing

Anomaly Detection

Pattern Recognition in Security

Threat Modeling with AI

Fraud Detection with AI

Translation for Security

Summarization of Security Data

AI-Assisted Incident Management

CompTIA SecAI+ AI-Enhanced Attack Vectors Guide

AI-Generated Content Deepfakes

Impersonation Attacks with AI

Misinformation and Disinformation

Adversarial Networks in Attacks

AI-Powered Reconnaissance

Enhanced Social Engineering

Obfuscation Techniques

Automated Data Correlation

Automated Attack Generation

Attack Vector Discovery

AI-Generated Payloads and Malware

Honeypot Identification

AI-Enhanced DDoS Attacks

CompTIA SecAI+ AI Security Automation Guide

Low-Code and No-Code AI Tools

Scripting with AI Assistance

Document Synthesis and Summarization

Incident Response Ticket Management

Change Management with AI

AI Agents for Security

CompTIA SecAI+ CI/CD and AI Automation Certification Guide

CI/CD Pipeline Security for AI

AI-Powered Code Scanning

Software Composition Analysis SCA

Unit Testing with AI

Regression Testing in AI Systems

Model Testing in CI/CD

Automated Deployment and Rollback

CompTIA SecAI+ Organizational AI Governance Guide

AI Governance Overview

AI Center of Excellence

AI Policies and Procedures

CompTIA SecAI+ AI Security Roles Certification Guide

Data Scientist Role in AI Security

AI Architect Role Explained

Machine Learning Engineer Role

Platform Engineer Role in AI

MLOps Engineer Role Explained

AI Security Architect Role

AI Governance Engineer Role

AI Risk Analyst Role

AI Auditor Role Explained

Data Engineer Role in AI

CompTIA SecAI+ Responsible AI Certification Guide

Responsible AI Principles

Fairness in AI Systems

Reliability and Safety in AI

Transparency in AI Systems

Privacy and Security in AI

Explainability in AI

Inclusiveness in AI Design

Accountability in AI Systems

Consistency in AI Outputs

Awareness Training for AI Security

CompTIA SecAI+ AI Risk Management Certification Guide

Introduction of Bias Risk

Accidental Data Leakage

Reputational Loss Risks

Model Accuracy and Performance Risks

Intellectual Property Risks

Autonomous Systems Risks

Shadow IT and Shadow AI

CompTIA SecAI+ Compliance Frameworks Certification Guide

OECD AI Standards

NIST AI Risk Management Framework

EU AI Act Overview

ISO AI Standards

Corporate AI Policies

Sensitive Data Governance

Third-Party Compliance Evaluations

Data Sovereignty in AI

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About the authors

Avnish Singh

Avnish Singh

Avnish Singh is a passionate instructor dedicated to making complex topics simple and engaging. With a strong focus on practical knowledge and real-world applications, Avnish has empowered thousands of students to achieve their learning goals. Always striving for excellence, Avnish designs courses that are clear, actionable, and tailored to help students build confidence and skills quickly. Whether you're a beginner or looking to sharpen your expertise, Avnish's courses offer a supportive and inspiring learning experience.

See other products by Avnish Singh

Pavan Kumar

Pavan Kumar

Pavan Kumar is a highly experienced IT professional with over 20 years in the industry, specializing in enterprise infrastructure, cloud solutions, and cybersecurity. As a Microsoft Certified Trainer, Pavan has delivered impactful training sessions and workshops to global audiences, helping individuals and organizations enhance their technical skills and achieve their digital transformation goals.

See other products by Pavan Kumar

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