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AI in QA

AI-native test automation for regulated enterprises. BYO-LLM, private inference, prompt provenance, and how AI stays inside the perimeter.

AI test automation without data egress for regulated QA teams — architectural diagram contrasting public cloud LLM APIs (OpenAI, Anthropic) leaking DOM and session data outbound versus Element34 SBOX contained inside the enterprise perimeter with local vLLM/NIM inference, local RAG vector database, and private execution grid for HIPAA, GDPR, DORA, PCI-DSS, and FedRAMP compliance

AI Test Automation Without Data Egress: How Air-Gapped LLM Test Authoring Actually Works

Regulated QA teams don't have to choose between AI and data containment. See how air-gapped LLM test authoring keeps every byte behind the firewall.