LLM Security Gateway & Chat Hub

All LLM access flows through one gateway that authenticates users, blocks direct connections to external and private models, and enforces a default-deny approach, so nothing is reachable without an explicit policy. 

A production-ready chat workspace lets employees work with multiple models through one interface — with conversation history, file uploads, model selection, and multi-language support — all governed by the gateway. 

Fine-grained policies define which models each user, role, or organization can use, along with feature restrictions (file upload, tool calls, code execution) and usage limits by request, token, and time window. Policies can be tested, simulated, versioned, and tracked. 

Inputs and outputs are screened for personal information, sensitive data, malware, malicious URLs, prompt injection, and malicious payloads, using a combination of keyword, pattern, embedding-based, and LLM-based detection. 

Protection is applied at the gateway, workload, and model levels, so security is enforced consistently regardless of which application or provider is involved. 

Commercial, internal, and open-source models are managed through one connection layer, with secure credential storage, health checks, load balancing, and the ability to assign approved models per user or organization. 

Real-time dashboards, usage statistics, policy-violation trends, and cost tracking provide operational awareness, while usage-insight analysis reveals popular topics, department interests, and usage patterns across the organization. 

New security filters and controls can be added, updated, versioned, and rolled back without system downtime, so the platform keeps pace with new threats and requirements.