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 Mai 3min
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 Mai 2min
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 Mai 3min
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 Mai 2min
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 Mai 4min
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 Apr 3min
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 Apr 3min
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 Apr 2min
