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自動侵入テストにおける AI クイズ

AI 侵入テスト エージェントが、観察されたシステム状態からどのように計画を立て、ツールの出力を解釈し、承認された範囲を尊重しながら結果を連鎖させているかを確認します。

関連するガイドパス自動侵入テストにおける AI
質問 1 の 8

Which phases does NIST’s technical guide include in a security testing and assessment process?

すべての質問をプレビューする8 質問

クイズに答えると、答えと解説が表示されます。

  1. Which phases does NIST’s technical guide include in a security testing and assessment process?
    • Planning, discovery, attack, and reporting
    • Model pretraining, fine-tuning, deployment, and monitoring
    • Data labeling, medical diagnosis, treatment, and follow-up
    • Design, advertising, checkout, and customer support
  2. LLM ベースの侵入テスト エージェントは通常、何のために「プランナー」を使用しますか?
    • 従業員の休暇のスケジュール設定
    • 目標とシステム状態を推論して次の攻撃ステップを決定する
    • 会社ロゴのデザイン
    • マーケティングメールの送信
  3. What is a goal of NIST target-vulnerability validation techniques?
    • Guarantee that an attacker will exploit every vulnerability
    • Replace the need to define test scope
    • Corroborate that a suspected vulnerability exists in the target environment
    • Automatically assign legal liability for a weakness
  4. Which sequence matches three enterprise tactics in MITRE ATT&CK?
    • Classification, Regression, then Clustering
    • Planning, Discovery, then Reporting
    • Encryption, Compression, then Backup
    • Initial Access, Privilege Escalation, then Lateral Movement
  5. 侵入テストにおける AI の主なリスクは何ですか?
    • 同じ手法により、悪意のある攻撃者に対する障壁が低くなり、エージェントが意図しない混乱を引き起こす可能性があります。
    • コンピューターの動作が速くなります
    • 紙の上でのみ機能します
    • パスワードの必要がなくなります
  6. What did the cited LLM penetration-testing benchmark evaluate?
    • Whether autonomous testing eliminates the need for authorization
    • How language models and a PentestGPT system performed on benchmark penetration-testing tasks
    • Whether every vulnerability can be exploited from noisy tool output
    • Whether AI testing is more common than annual manual testing
  7. In the guide’s attack-graph description, what do the nodes and edges represent?
    • Nodes are users, and edges are their email messages
    • Nodes are model layers, and edges are attention heads
    • Nodes are system states, and edges are exploits that can move between states
    • Nodes are vulnerabilities, and edges are severity labels
  8. Why does an AI pen-testing agent need human authorization and a defined scope?
    • Authorization makes scan results automatically accurate
    • Scope is needed only to improve language-model fluency
    • A defined scope guarantees every vulnerability is exploitable
    • Its offensive actions can disrupt systems, and testing must stay within approved targets