Gartner Research


Published: 19 April 2023


AIは、新たな形でのトラスト/リスク/セキュリティ・マネジメントを必要とする。しかしながら企業がこれらを探るのは、主に規制遵守のためである。ITリーダーは従来のアプローチを変更し、自社を守ることとAIモデルから得られるビジネス成果を高めることを目的として、「AI TRiSM」を採用すべきである。

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  • ISOセキュリティ標準規格のような従来のコントロールでは、AIが必要とする新たな形のトラスト/リスク/セキュリティ・マネジメントに適切に対処できない。しかし、ほとんどのセキュリティ・リーダーは、AIを典型的なアプリケーションのようにしか扱っていない。

  • AIのトラスト/リスク/セキュリティ・マネジメント (AI TRiSM) を導入する企業は、導入しない企業よりも多くのAIモデルを実用化し、そこから多くの価値を生み出す。

  • AI TRiSMの採用は、法的規制の適用が未決定、もしくは限定的な業種では大きく遅れている。しかし、AIは、それを利用するすべての人に同じ重大な脅威と問題をもたらす。今後5年のうちに、AIの普及が進むにつれて、こうした脅威はより明白になる。



  • AI TRiSMを導入することで、AI関連のプライバシー侵害、セキュリティ・インシデント、バイアス、意図しない結果がもたらす財務、運用、規制、評判、社会、倫理といった各側面への影響から自社を守る。

  • 可能であれば専任チーム、難しければその代わりにタスクフォースを結成して、AI TRiSMの取り組みを推進する。メンバーは、AIプロジェクトによって影響を受ける部門から全社横断で任命し、法務、コンプライアンス、データ/アナリティクス、セキュリティとプライバシーの各チームの利害を調整する。

  • AI TRiSMを単なるコンプライアンス目的のためだけに導入してはならない。それよりも、コンプライアンスのチェックリストにとらわれずに検討し、ビジネス成果の向上を達成することを目指す。

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Yuichi Isoda

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