[OT Security-Common] Understanding the AI Era through Manufacturing Security Field Cases

Understanding Manufacturing Security Through Real-World Cases in the Age of AI is a course designed to help learners easily understand the increasingly important topic of OT security in smart factories and AI-based manufacturing environments through real-world cases. This course explains key concepts frequently encountered in manufacturing environments, including OT, ICS, PLC, SCADA, HMI, and MES, and compares the differences between IT security and OT security. It also examines, through real-world cases, security threats that may occur in manufacturing environments, such as ransomware, remote access abuse, partner account compromise, production line shutdowns, equipment malfunctions, and data tampering. Through this course, learners can understand the basic structure of OT security in manufacturing and identify the security perspectives needed to protect production equipment and industrial control systems. They can also establish a common foundation for learning subsequent manufacturing security courses by industry.

IT services are rapidly transitioning to a cloud environment. You will learn security practices from the basics of building a virtual infrastructure to monitor security threats in each area and diagnose vulnerabilities to secure the domestic Naver cloud environment.

This course is an essential real-life IT security guide that even non-security majors and general users can follow immediately. It's designed to help you easily and quickly learn only the security practices essential for daily life, from understanding what ransomware is to infection prevention and response methods, smartphone security settings, and practical security configurations for Windows/Mac OS.

If you want to work for a long time as a super developer who can handle the entire process of service development and operations alone, building a solid foundation in IT infrastructure knowledge is just as important as learning various programming languages!

Master AWS networking completely! Learn VPC, subnet, routing, and security with a focus on practical application, and design secure and scalable cloud network architectures. Complete the core skills that every working engineer must know in a short period of time!

Mastering Threat Mitigation, Custom Rules, and API Protection for Modern DevOps Pipelines

KCA Information Security Risk Manager (ISRM) certification course! The cornerstone for acquiring the top 3 personal information protection certifications: CPPG, ISMS-P!

As the adoption of generative AI accelerates, new security threats such as corporate confidential information leaks and prompt injections are surging. This course covers strategies for embedding security throughout the entire AI lifecycle, based on the National Intelligence Service (NIS) guidelines' 30 core security measures and 15 practical threat cases. It also addresses security issues in the latest AI trends, such as Agentic AI and Physical AI, and presents methods for establishing governance frameworks that can be immediately applied in practice.

This is a lecture [Certification and Practice (Security · Network), Security] prepared for beginners.

This course puts an end to operational vulnerabilities in Linux servers caused by incorrect permissions. Completely master file and directory permission control based on real-world practical standards.

This course carefully selects the core systems that beginners must know in the vast field of information security. Instead of rigid theory, it's structured to help you intuitively understand system principles through clear analogies and practical examples. With this single course, you can grasp the big picture of information security systems as a whole and develop practical skills.

You can effectively study the contents of the Information Security Engineer practical exam questions and obtain the Information Security Engineer practical qualification.

Records remain, and responsibility grows! Everything about digital ethics that protects the workplace This course explores digital hate, digital sex crimes, and the risks of using AI that can actually occur in the workplace through case-based stories, clearly explaining what the problems are and how to prevent and respond to them. It firmly establishes the standards of digital ethics that today’s employees—who communicate digitally and use AI as part of their everyday work—urgently need, including how to work while respecting one another in digital spaces and how to use AI more safely and responsibly.

Feeling overwhelmed by where to start with AI auditing? AI has moved beyond a mere technology trend and is rapidly expanding into corporate decision-making, workflow automation, customer service, recruitment, security, and risk management. However, compared to the speed of AI adoption, not many people systematically understand questions like: "Is the AI being properly controlled?", "Can we trust the AI's judgment?", or "What risks could arise from the data, models, and operational processes?" In particular, those working in IT auditing, security, internal control, and project management often face these concerns: - How does AI auditing differ from traditional IT auditing? - Is it enough to just look at the code for an AI model, or must we examine the data and training process as well? - How do AI governance, risk, bias, explainability, MLOps, and incident response connect to one another? - Where should I start to understand the concepts covered in AI auditing certification courses like AAIA from a practical perspective? This course was created specifically to resolve this sense of uncertainty. For about 20 years, I have gained experience in IT service planning, development, PM, collaboration platform operation, groupware construction, chatbot service planning, and security and audit-related tasks. I have firsthand experience in how systems are planned, developed, and operated in actual organizations, and how failures, changes, security, and user requirements are interconnected. Furthermore, I have synthesized the perspectives of IT auditing and AI auditing through CISA and AAIA study programs. In this course, rather than diving deep into complex AI technology through math or development, I focus on the core concepts that auditors and IT practitioners must understand. We will examine AI systems by breaking them down into the flow of data, models, operations, security, governance, risk, and audit procedures, and summarize what controls and checkpoints are required at each stage. Through this course, students will understand that AI auditing is not simply "evaluating AI," but rather the task of inspecting governance, risk, and control systems to ensure that AI is used safely and responsibly within an organization. This course is suitable for: - Those new to AI auditing. - Those in IT auditing or security who want to expand into the AI domain. - Those who want to organize AI governance and risk from a practical perspective. - Those who want to grasp the overall concepts before starting AI audit-related studies such as AAIA. Upon completing the course, you will be able to answer the following questions yourself: - What components make up an AI system? - What should an AI auditor check during the data, model, and operation stages? - Why are AI governance and Responsible AI important? - How are AI risk, bias, explainability, privacy, and security connected? - What perspectives and evidence should be included in an AI audit report? In the rapidly changing era of AI, the ability to manage and inspect technology to make it trustworthy is just as important as the ability to use it well. This course is an introductory program for those who want to understand the big picture of AI auditing step-by-step from the beginning. Let's build the first standard for looking at IT and AI from an auditing perspective together.

Many people use Docker, but few understand its underlying principles. Without understanding these principles, you can only rely on searching for answers when problems arise, rather than solving them yourself. The essence of Docker lies in the operating system. This course is not a superficial overview of memorizing a few commands; it delves deep into the inner workings of the operating system that makes up Docker. Once the internal structure becomes visible, Docker is no longer difficult.

[An Introduction to Security Incident Response Through Scenarios of Web Server Hacking, Ransomware, and Account Takeovers] This course examines why various information security incidents—including web server hacking, ransomware, account takeovers, and internal intrusions—occur and how they spread, organized by incident type. By following each incident scenario, learners will understand the attack flow, analyze the key causes of the incident, and learn how to resolve the issue and prevent recurrence through security structures such as firewalls, DMZs, access control, privilege management, backups, and log monitoring. Rather than simply explaining basic security concepts, this scenario-based introductory information security course provides a comprehensive understanding of everything from analyzing the causes of security incidents to determining how to resolve them.

This lecture is about automotive ECU cyber security based on a basic understanding of cryptography.

For job seekers unsure what to study and how to answer, we provide a practical roadmap and interview strategies based on real-world consulting experience.

This is an extended Amazon EKS course covering a wide range of topics that Amazon EKS users should definitely know.

IT services are rapidly transitioning to cloud environments. You will learn security practices from basic virtual infrastructure construction to security threat monitoring and vulnerability diagnosis for each area to secure the Amazon AWS cloud environment.