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NIST's CAISI publishes an assessment of Z.ai's GLM-5.3 cyber capabilities

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On September 17, 2026, NIST's Center for AI Standards and Innovation (CAISI) published an assessment of the cyber capabilities of GLM-5.3, a model from the PRC-based company Z.ai, which released it in August 2026 and made its weights public two weeks later. CAISI ran the model as an agent with bash and Python tools on four benchmarks covering vulnerability discovery and exploit development, including its private CAISI OSS-Fuzz benchmark, and tested U.S. models with cyber safeguards disabled for comparison. The assessment compares GLM-5.3 with the U.S. and PRC models CAISI has evaluated, using per-benchmark results and an aggregate cyber capability index based on Item Response Theory, and notes that it does not compare against models that have been developed but not yet released.1

Sources

  1. 1.
    CAISI's Assessment of Z.ai's GLM-5.3 Cyber Capabilities (external site: nist.gov)

    National Institute of Standards and Technology · Paper · published Sep 17, 2026 · accessed Oct 13, 2026

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USASI. (2026, October 13). NIST's CAISI publishes an assessment of Z.ai's GLM-5.3 cyber capabilities. United States of America Superintelligence. https://unitedstatesofamericasuperintelligence.com/news/caisi-assesses-glm-5-3-cyber-capabilities/

BibTeX

@misc{usasi_news_caisi_assesses_glm_5_3_cyber_capabilities,
  author = {{USASI}},
  title = {NIST's CAISI publishes an assessment of Z.ai's GLM-5.3 cyber capabilities},
  year = {2026},
  month = oct,
  howpublished = {\url{https://unitedstatesofamericasuperintelligence.com/news/caisi-assesses-glm-5-3-cyber-capabilities/}},
  note = {United States of America Superintelligence. Last updated 2026-10-13}
}

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