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Aether Platform

AI Governance & LLM Proxy

For enterprises adopting Generative AI, “Data Leakage” and “Cost Management” are top concerns. Aether Platform addresses these technically with a built-in LLM Proxy that mediates all AI interactions.

LLM Proxy Architecture

AI agents and coding assistants within the workspace cannot directly hit APIs like OpenAI or Anthropic. They are forced at the network level to route through Aether’s managed Proxy.

graph LR
    Agent[AI Agent / Cursor]
    Firewall[Egress Filter]
    Proxy[Aether LLM Proxy]
    LLM[OpenAI / Anthropic / Local models]

    Agent -- "Blocked" --> LLM
    Agent -- "Allowed" --> Proxy
    Proxy -- "Auth & Log" --> LLM

Key Features

1. Model Switching

Project administrators can centrally configure which backend models are used.

  • Cost Optimization: Use cheaper models like gpt-3.5-turbo or haiku during development, and allow gpt-4 only for production-grade verification.
  • Avoid Vendor Lock-in: Switch providers (OpenAI ⇔ Azure ⇔ Bedrock) without changing a single line of application code.

2. Data Leakage Prevention (PII Filtering)

Before prompts are sent externally, they undergo pattern matching for PII (Personally Identifiable Information) and sensitive data. Requests containing credit card numbers or API keys are blocked or masked.

3. Comprehensive Audit Logs

We record everything: “Who,” “When,” “What prompt was sent,” and “What the AI replied.” These logs are searchable by audit teams, enabling the detection of “Shadow AI” usage and providing forensics in case of incidents.