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CompTIA SecAI+ All– In– One (CY0– 001)
Free Download CompTIA SecAI+ All– In– One (CY0– 001)
Published 2/2026
Created by Anthony Sequeira, Michael Shannon
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 26 Lectures ( 3h 18m ) | Size: 1.65 GB
Learn about AI security & SecOps: securing AI systems, adversarial ML defense, threat detection, and GRC.
What you'll learn
✓ Apply secure AI principles to protect ML systems across the lifecycle: data, training, deployment, monitoring, and governance.
✓ Identify and mitigate key AI threats—prompt injection, data poisoning, model evasion, and model inversion—using practical controls.
✓ Implement AI security architecture: access control, logging, supply-chain validation, privacy safeguards, and incident response for AI systems.
✓ Evaluate AI risk and compliance
Requirements
, document controls, and communicate AI security posture to technical and nontechnical stakeholders.Requirements
● General IT fundamentals (hardware, OS concepts, basic troubleshooting)
● Networking fundamentals (TCP/IP, DNS, HTTP/S, ports, firewalls)
● Security fundamentals equivalent to Security+ (CIA triad, IAM basics, encryption concepts, common attacks)
Description
NOTE: This course contains the use of artificial intelligence. AI was used to build exciting role plays you will utilize throughout this curriculum.
CompTIA SecAI+ All-In-One (V1) is your end-to-end guide to mastering AI security, from fundamentals to real-world implementation. Built for practitioners with 3–4 years in IT and at least 2 years of hands-on security, this course maps directly to the SecAI+ (V1) exam domains and prepares you to secure AI systems, leverage AI for defense, and navigate governance with confidence. We start by demystifying core AI concepts—machine learning, deep learning, NLP, and automation—and show where they add the most value in security operations. You'll analyze AI-enabled threat landscapes, including automated phishing, polymorphic malware, adversarial machine learning, and the malicious use of generative AI.
The heart of the course focuses on securing AI systems across on-prem, cloud, and hybrid environments. You'll learn to implement robust technical safeguards for data, models, and pipelines; harden training and inference; and mitigate adversarial risks through validation, model signing, guardrails, and monitoring for drift. From there, we shift to AI-assisted security: enhancing detection and response with ML-driven analytics, alert correlation, SOAR integrations, UEBA, and human-in-the-loop decisioning to reduce noise and accelerate incident remediation.
Because governance matters, you'll integrate GRC throughout the AI lifecycle—aligning to global expectations with practical tools like model cards, data statements, risk registers, and testing for robustness, bias, and safety. Every section includes hands-on labs and scenario-based exercises, plus knowledge checks to reinforce learning. You'll also get two full practice exams with rationales and domain-weight reporting, and an optional capstone where you design a secure ML pipeline or build a defensible LLM microservice.
Whether you're strengthening SecOps with AI or safeguarding AI itself, this course gives you proven patterns, templates, and battle-tested playbooks to deliver secure, compliant, and resilient AI capabilities—and to walk into the SecAI+ (V1) exam ready to pass.
Who this course is for
■ Security and IT professionals who want practical, job-ready skills to secure AI systems (LLMs, ML services, and AI-enabled apps) in real environments.
■ Certification-minded learners preparing for CompTIA SecAI+ who want clear coverage of objectives, exam-style thinking, and confidence-building practice—without getting lost in theory.
■ Hands-on practitioners who don't plan to test but want the skills: identifying AI threats, reducing risk, and implementing controls across the AI lifecycle (data → training → deployment → monitoring).
■ Analysts and engineers in SOC, IR, AppSec, cloud, and DevOps roles who need to recognize AI-driven attacks (like prompt injection and data poisoning) and respond effectively.
■ Technical leaders, consultants, and GRC-minded teams who must evaluate AI risk, governance, and compliance
Requirements
and communicate security posture to stakeholders.■ Curious newcomers with a Security+ level foundation who want to understand AI security concepts quickly and apply them immediately—no heavy math or data science required.
Homepage
https://www.udemy.com/course/comptia-secai-cy0-001
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