Research
NIST's CAISI publishes an assessment of Z.ai's GLM-5.3 cyber capabilities
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
Related catalog entries
Sources
Share or cite this page
- X (opens X)
- Bluesky (opens Bluesky)
- LinkedIn (opens LinkedIn)
- Reddit (opens Reddit)
- Hacker News (opens Hacker News)
- Email (opens your email app)
- RSS updates
Cite this page
APA style
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}
}The date is when this page was last updated. Add the date you read it if your style needs one.