Siper Labs inspects, protects and optimizes the traffic between your AI models, MCP servers and the apps that depend on them — self-hosted or SaaS, your choice.
We secure your AI operations and optimize token usage, built on the latest web standards and data privacy principles.
Positioned between your AI clients (Cursor, Claude Desktop, Cline, etc.) and MCP servers, it analyzes tool calls in real time. Blocks command injections, PII leaks, and anomaly chains.
A proxy layer that cuts LLM costs — only the base URL changes in your app. Flow answers repeat calls from cache, compresses redundant tokens, and masks sensitive data before the model call, so the security layer pays for itself out of the savings it creates.
Siper Labs components create an efficient and secure pipeline between your AI clients and major model providers.
Cursor, Cline, or Claude Desktop. The user initiates a tool request.
Inspects traffic at the JSON-RPC level. Blocks OS injection and SSRF, masks GDPR data.
Checks exact/semantic cache, masks PII, routes to the right provider family.
OpenAI, Anthropic, or Gemini processes the call and returns an optimized response.
We align all processes with banking, telecom, and public compliance standards.
Siper Guard is designed to run entirely on-premise. Your data, API keys, or source code never leaves your network.
Detection mechanisms fully aligned with the MITRE ATLAS framework, OWASP LLM Top 10 protection, and GDPR-compliant audit logs.
To deploy Siper Flow, simply change the `base_url` parameter in your LLM client. Zero code effort.
