During a recent penetration test, we came across an AI-powered desktop application that acted as a bridge between Claude (Opus 4.5) and a third-party asset management platform. The idea is simple: instead of clicking through dashboards and making API calls, users just ask the agent to do it for them. “How many open tickets do […]

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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.

The capabilities of modern AI models have advanced far beyond what most people in the security industry have fully internalized. AI-generated phishing, script writing, and basic offensive automation are getting plenty of attention, but what happens when you apply agentic AI to the full lifecycle of building, testing, and refining custom malware and command-and-control (C2) […]

The post AI-Driven Offensive Security: The Current Landscape and What It Means for Defense appeared first on Praetorian.

The post AI-Driven Offensive Security: The Current Landscape and What It Means for Defense appeared first on Security Boulevard.