PMS-02 What Is an Incident? Where Is the Line?

AIMS-20. Does Everyone Need AI Training?

Generative AI is no longer only for IT specialists. Today, employees across many departments — including sales, HR, accounting, and management — are already using AI in their daily work. That is why organizations now need more than just “AI tools.” They need responsible AI usage across the company. In this episode, A.9.2 Processes for Responsible Use of AI Systems from a practical and real-world perspective. Topics include: * why AI education matters * common risks companies overlook * why simple awareness is more important than difficult technical training * how to build safe AI habits in the workplace A practical episode for corporate IT teams, managers, and organizations starting their AI governance journey.

PMS-02 What Is an Incident? Where Is the Line?

Many companies struggle with one question: “When does an event become an incident?” In this episode, we explain: * The difference between events and incidents * Common gray-zone cases * Why reporting matters This is a practical guide for real PMS operation.

AIMS-19. Incident Management (A.8.2)

AI incidents can happen in any organization. For example: * sensitive data is entered * wrong information is shared * inappropriate content is published * copyright issues occur These problems cannot be fully avoided. That is why Incident Management (A.8.2) is important in AIMS. In this episode, we explain simple first actions: 👉 Stop 👉 Check 👉 Report These steps help reduce damage and keep the situation under control. 👉 Good preparation helps you stay calm. This episode gives you a practical mindset for handling AI incidents.

PMS-01. What Does P-Mark Protect? (Overview)

P-Mark (PMS) is not just about rules or documents. It is a system to continuously protect personal data. In this episode, we explain the core concept of PMS, why operations differ by company, and how it compares with ISMS in a simple way.

AIMS-18. Validation and Testing

AI is useful, but it should not be used without checking. That is why Validation and Testing (A.6.2.4) is important in AIMS. This episode explains: 👉 what to check before using AI 👉 what to check after getting results You will learn a simple checklist: * before using AI * after using AI These checks help prevent: * wrong information * outdated content * bias * unsafe sharing 👉 AI is safe only when we check it. This episode gives you practical steps you can use right away.