Gartner Research


Published: 31 January 2023



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  • 情報漏洩防止 (DLP) プロジェクトが具体的な方針や目標と結び付いていない場合、それはデータ・セキュリティのガバナンスが成熟していないことを意味する。その結果、ユースケースや要件の一貫性がなくなり、DLPテクノロジの選択プロセスが難しくなり、データ保護の成功率も低下する。

  • 従来のDLPベンダーは、従来のセキュリティ・ルールに基づくデータの保護に重点を置いている。これが要因となってインシデント対応が煩雑になり、データ移動の把握がサイロ化される可能性がある。

  • レガシーのDLP製品や検出の技法は、オンプレミスのワークロード向けに開発されたものである。クラウドへの移行によって、DLPに対するこうしたレガシー・アプローチが実用的でなくなったため、顧客企業がベンダーを選択するプロセスは難しくなった。


データ保護に対して責任を負うセキュリティ/リスク・マネジメント (SRM) のリーダーは、以下を行う。

  • 情報漏洩時のリスクとビジネスのニーズに基づいてDLP戦略を定義する。限定的なユースケースに対応するソリューションを探すのではなく、定義した戦略の全体をカバーすることを目的としてDLP製品を選択し、概念実証を行う。

  • コンテンツの検出機能だけでなく、データの可視化と分類、ユーザー/エンティティ挙動分析 (UEBA)、インシデント対応のためのコンテキスト分析といった追加機能も備えたDLPソリューションに投資する。

  • ハイブリッド環境全域で機密データのマッピングとセキュリティ保護を行えるソリューションを実装することで、「クラウド・ファースト」戦略の課題を克服する。

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Kaoru Yano

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