Graph Neural Network
AssessTechniques
A machine learning model that analyzes code structure as a graph to identify suspicious behavior patterns.
Why it's here
Placed in Assess: 1 article(s) of evidence from 1 source(s), led by security coverage, with 1 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.
Evidence (1)
- 8Cloudflare Blog·9/16/2026securityCloudflare uses ML to catch hidden client-side attacks
Cloudflare says its Client-Side Security system found multiple malicious JavaScript payloads running in storefront pages that conventional scanners missed. The company combines a graph neural network, a lightweight LLM, and a set of frontier-model reviewers to detect stealthy behavior in live browser traffic and reduce false positives.