Three AI Models Scored 100% on a CISSP-Style Exam Experiment

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Summary

An author tested three AI models on 150 self-written CISSP-style questions across all eight domains. Each scored 150/150; the author argues that exam performance does not mean AI can make cybersecurity decisions in uncertain real-world situations.

Key points

  • The author wrote 150 questions across all eight CISSP domains and did not use real exam questions or a paid question bank.
  • The experiment had 100 standard questions and 50 complex questions requiring selection of the best answer among multiple technically correct options.
  • ChatGPT, Gemini, and Claude each scored 150 out of 150, with the author judging their reasoning correct on every question.
  • The author notes that the questions were self-written, so personal bias may have influenced the results.
  • The author argues that passing a recognition-based exam does not establish that AI can create cybersecurity strategies or make decisions with limited information.
  • The article recommends that security professionals use AI for suitable tasks while focusing on work where human judgment is valuable.

Article Details

Topic
An experiment testing ChatGPT, Gemini, and Claude on author-written CISSP-style questions, and its implications for cybersecurity exams and professional work.

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