この特集の内容
Personal data · Risk management · AI governance · Compliance · Sovereignty
Map data flows and responsibilities
How do you build an actionable data map? Follow one processing activity from collection through copies, exports, backups and deletion. The register describes purposes, data categories, applications, providers, access, retention, owners and control evidence. The aim is to explain a decision, handle a request and verify a change. Examples concern methodology; legal classification depends on context and should be checked against original sources.
ガイドを読む ENニュースウォッチ
国際ニュース一覧 →保存済みの見出し · 更新できません · 最終取得成功 : 2026/10/22 21:21
神奈川県警の失効免許証流用、３０年来の慣行か 個人情報保護法など抵触の可能性 警察庁が全国一斉調査へ - 47NEWS
via Google News · aggregator神奈川県警、顔写真収集のため免許不正流用 30年前からか、警視庁「個人情報保護法に抵触する不適切な運用」 - サンスポ
via Google News · aggregator神奈川県警の失効免許証流用、３０年来の慣行か 警察庁が全国一斉調査へ - カナロコ
via Google News · aggregator名鉄観光サービス 会員約13万件の個人情報流出の可能性 不正アクセス受ける（中京テレビＮＥＷＳ） - Yahoo!ニュース
via Google News · aggregator沖縄ツーリスト、個人情報漏えいの可能性でサービスを一時停止 レンタカーなど5サービス - TRAICY（トライシー）
via Google News · aggregator韓国個人情報保護委員会、PHPの致命的脆弱性に緊急警告…「DB大量流出の懸念」 - BigGo ファイナンス
via Google News · aggregator参照資料：データ・用途・限界
資料確認日 .
この言語版の詳しい参照メモは英語で提供しています。
| 出典と目的 | 確認済みのデータ・指標 | 利用方法 | 留意する限界 |
|---|---|---|---|
| FIRST · Traffic Light Protocol Indicate who may receive redistributed information. |
TLP 2.0 uses RED, AMBER, GREEN and CLEAR; AMBER+STRICT restricts sharing to the recipient organisation. Labels must not be translated. | Keep the marking with the information and check recipients before forwarding. Ask the source to clarify any ambiguity. | TLP is neither a formal classification nor a reuse licence. It does not guarantee content accuracy. |
| NIST · AI Risk Management Framework Organise management of AI-related risks. |
The AI RMF Core is organised around Govern, Map, Measure and Manage. It is a voluntary risk-management framework. | Define intended use, affected people and error consequences. Connect each risk to an evaluation, owner and stop or recovery mechanism. | The framework certifies neither a model nor an application. Using it does not remove the need to examine applicable requirements. |
| NIST · Privacy Framework Examine risks to people arising from data processing. |
The Privacy Framework is a voluntary privacy risk-management tool. It is distinct from a universal legal compliance checklist. | Describe actual processing: data, purposes, recipients, access and retention. Compare documents, settings and deletion or retrieval tests. | Using the framework alone does not determine compliance with applicable law. Processing context and jurisdiction still need examination. |
公開とAI検索での可視性
この言語版の詳しい参照メモは英語で提供しています。
Assign publication decisions to an owner
Public publication and private access require different evidence. Snippet and AI participation choices must be linked to the relevant service and property.
- Record owner, scope, effective choice and inherited publication settings.
- Protect private resources through authorisation; robots.txt publicly reveals listed paths.
- Date acceptance evidence and review documentation again when the service changes.
Compare AI controls and report data →
References reviewed
security.txtと脆弱性開示
この言語版の詳しい参照メモは英語で提供しています。
Preserve contact scope when domains change
A migration, provider delegation or subdomain change can make a disclosure channel ambiguous. Domain governance should therefore include publication and review of security.txt.
- Check each relevant host: a parent domain’s file does not automatically apply to its subdomains.
- Compare Canonical URIs with actual retrieval and document provider redirects.
- Review contacts, keys, policy and expiry when responsibility transfers; preserve older versions as history.
Read the security.txt reference and disclosure cases →
Sources checked on · IETF · RFC 9116 · §2.5, §3, §5