TL;DR: Julius v0.2.0 nearly doubles LLM fingerprinting probe coverage from 33 to 63, adding detection for cloud-managed AI services (AWS Bedrock, Azure OpenAI, Vertex AI), high-performance inference servers (SGLang, TensorRT-LLM, Triton), AI gateways (Portkey, Helicone, Bifrost), and self-hosted RAG platforms (PrivateGPT, RAGFlow, Quivr). This release also hardens the scanner itself with response size limiting and […]

The post Julius v0.2.0: From 33 to 63 Probes — Now Detecting Cloud AI, Enterprise Inference, and RAG Pipelines appeared first on Praetorian.

The post Julius v0.2.0: From 33 to 63 Probes — Now Detecting Cloud AI, Enterprise Inference, and RAG Pipelines appeared first on Security Boulevard.

Michelle Rhodes

Source: Security Boulevard
Source Link: https://securityboulevard.com/2026/03/julius-v0-2-0-from-33-to-63-probes-now-detecting-cloud-ai-enterprise-inference-and-rag-pipelines/