Making Information Security Practical and Easy to Understand

Making Information Security Practical and Easy to Understand

This podcast shares practical insights on information security, privacy protection, corporate IT, and AI governance, based on real experience supporting small and mid-sized companies in Japan. Topics include ISMS (ISO/IEC 27001), AIMS (AI Management Systems), incident response, and responsible AI use — all explained from an operational, in-house perspective rather than theory alone. One unique focus of this podcast is Japan’s Privacy Mark (P-Mark), a Japanese privacy management system that is widely used in Japan but not well known internationally. In this podcast, I explain what P-Mark is,

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Jaksot(46)

AIMS-19. Incident Management (A.8.2)

AIMS-19. Incident Management (A.8.2)

AI incidents can happenin any organization.For example:sensitive data is enteredwrong information is sharedinappropriate content is publishedcopyright issues occurThese problems cannot be fully avoide...

17 Touko 3min

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

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 co...

13 Touko 2min

AIMS-18. Validation and Testing

AIMS-18. Validation and Testing

AI is useful,but it should not be used without checking.That is whyValidation and Testing (A.6.2.4)is important in AIMS.This episode explains:👉 what to check before using AI👉 what to check after get...

10 Touko 3min

ISMS-02. Why ISMS Does Not Work

ISMS-02. Why ISMS Does Not Work

Many companies have ISMS,but it does not work well.In this episode, we explain:four common problemswhy ISMS failswhat companies should avoidThe key point is simple.ISMS should be a system,not somethin...

6 Touko 2min

AIMS-17. Design and Development: Data Handling (A.7.2)

AIMS-17. Design and Development: Data Handling (A.7.2)

When you see an AI answer,do you think aboutthe data behind it?AI results are affected by data.If the data has problems,the result may also have problems.For example:the data may be biasedthe source m...

3 Touko 4min

ISMS-01. Where to Start ISMS

ISMS-01. Where to Start ISMS

Many companies start ISMS in the wrong way.They begin by making rules and documents.But this often causes problems.In this episode, we explain:a common mistake in ISMSwhy starting with rules does not ...

29 Huhti 3min

AIMS-16. AI Risk Assessment (A.6.3)

AIMS-16. AI Risk Assessment (A.6.3)

I introduces new types of risksthat are different from traditional IT.For example:data leakageincorrect outputsbiaslack of transparencyovertrust in AIThese risks can feel unclear and scary.But when we...

26 Huhti 3min

SEC-16. Where Should IPO Companies Start Security?

SEC-16. Where Should IPO Companies Start Security?

Companies preparing for IPO often ask:“Where should we start with information security?”In this episode, we explain the first steps for building a security system in IPO preparation.We discuss:Buildin...

22 Huhti 2min

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