Artificial Analysis Cyber Index
Cyber Index Alliance
Artificial Analysis Cyber Index は、Cyber Index Alliance と連携して開発しています。Cyber Index Alliance は業界パートナーを結集し、企業のサイバー防御タスクにおけるAIモデルの性能を評価するための新たな標準を確立します。パートナーはインデックスの設計と実装に専門的な知見を提供し、データセットや外部の研究を直接提供することもあります。
Cyber Index Alliance への参加にご関心のある組織は、cyber@artificialanalysis.ai までお問い合わせください。
Artificial Analysis Cyber Index
スコア
Artificial Analysis Cyber Index
Artificial Analysis Cyber Index:スコア vs. タスクあたりのコスト
安全ブロック
Artificial Analysis Cyber Index:安全ブロック
トークン使用量
Artificial Analysis Cyber Index:タスクあたりの出力トークン
コスト
Artificial Analysis Cyber Index:タスクあたりのコスト
よくある質問
Artificial Analysis Cyber Index は、AI モデルがサイバー防御の作業をどれだけうまく遂行できるかを示す複合インデックスです。コードベース内の脆弱性の発見、その再現と検証、既存の機能を損なわないパッチの適用という防御ループをカバーする 3 つのサイバーセキュリティ評価を組み合わせています。
本インデックスは、CWE-Bench-AA の pass@1、DeepsecBench-AA の F2(3 回の実行の中央値)、CyberGym-E2E-AA の pass@1 という 3 つの評価スコアの均等加重平均です。各スコアは 0〜100 のスケールに換算してから平均します。
Collinear AI の CWE-bench を当社が実装した CWE-Bench-AA、Vercel の DeepsecBench を当社が実装した DeepsecBench-AA、Berkeley Center for Responsible, Decentralized Intelligence (RDI) の CyberGym-E2E を当社が実装した CyberGym-E2E-AA の 3 つです。これらを合わせることで、コードベースをスキャンして弱点を探すところから、クラッシュを再現してパッチを実装するところまで、防御ループの全範囲をカバーします。
いいえ。本インデックスが測定するのは防御的な作業のみです。モデルは、アプリケーションを監査するセキュリティエンジニアと同じようにソースコードをもとに作業し、実際に動作する exploit の作成はどのモデルにも求めていません。exploit の実現は対象外です。
いいえ。Artificial Analysis Cyber Index はサイバーセキュリティに特化した独立したインデックスとして公開しており、Artificial Analysis Intelligence Index には含まれません。
評価を探す
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