AIMS-18. Validation and Testing

AIMS-21. AI Security Incidents: Lessons from Real Cases

AI is becoming part of everyday work. At the same time, AI-related incidents are increasing. Many incidents do not start with hackers. They start with simple mistakes. For example: * entering confidential information * using incorrect AI output * publishing content without review * trusting AI too much In this episode, we look at common AI-related incidents and the lessons we can learn from them. 👉 AI incidents are not someone else’s problem. They can happen in any organization. This episode helps you understand how to prepare and reduce risk.

ISMS-03 What Makes ISMS Work Well?

Many companies think ISMS is only about rules and documents. But in reality, successful companies focus on something different. They focus on operations that people can actually continue. In this episode, Yoshida talks about the common characteristics of companies that run ISMS well, even with small teams and limited resources. A practical and realistic discussion for corporate IT, management teams, and small businesses starting their ISMS journey.

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.