Gartner Research


Published: 23 August 2022



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  • 手動によるデータ分類アプローチでは、ヒューマン・エラーやユーザーの意識向上のトレーニング不足が原因で、データが正しく分類されなくなる可能性がある。

  • ユーザーがデータにラベルやタグを付けていても、そうしたラベルは表面的であって単一の目的にしか役に立たず、増え続ける規制関連のデータ制御に対応するための十分なコンテキストを提供できない。


効果的なデータ分類プログラムを導入するために、データ・セキュリティを担当するセキュリティ/リスク・マネジメント (SRM) のリーダーは以下を実行する。

  • データ分類をセキュリティ・プログラムの1つとして確立する。その際には、重点を、ユーザーの意識向上およびトレーニングから、自動化やメタデータを生成するエンリッチ・ツールに移す。

  • データ分類アプローチをディスカバリ・フェーズ、データ・エンリッチ・フェーズ、制御フェーズに分割することによって、さらに詳細化し、次元を拡張する。

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Kaoru Yano

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