Enhancing GraphQL Security by Detecting Malicious Queries Using Large Language Models, Sentence Transformers, and Convolutional Neural Networks

🗓️ 14 Aug 2025 00:00:00Reported by Irash Perera, Arshardh Ifthikar, Hiranya Abeyrathne, Sanjeewa MalalgodaType

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AI-driven real-time detection of malicious GraphQL queries using large language models, embeddings, and neural classifiers.

14 Aug 2025 00:00Current

7.2High risk

Vulners AI Score7.2

graphql security malicious queries real time detection static analysis machine learning large language models sentence transformers document vectors convolutional networks random forests multilayer perceptrons parallel processing runtime optimization command injection data exfiltration dos attacks cross site scripting data leakage server request forgery