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MaskLLM

Mask your LLM APIs for secure rotation and logging

2025-08-13

Product Introduction

  1. MaskLLM is a security-focused API management solution designed to protect and rotate Large Language Model (LLM) API keys across development environments. It enables users to generate masked keys that act as proxies for master API keys, ensuring sensitive credentials remain hidden during usage. The system integrates directly with backend infrastructure to maintain control over API access without relying on third-party intermediaries.
  2. The core value of MaskLLM lies in its ability to prevent API key exposure while enabling secure sharing, rotation, and centralized monitoring of LLM usage. It eliminates the risks associated with hardcoding or manually distributing API keys, reducing potential financial losses from credential leaks. By operating within the user’s own infrastructure, it ensures compliance with data privacy standards and minimizes latency.

Main Features

  1. MaskLLM provides masked API key generation through an admin portal, allowing users to create temporary, revocable keys that map to master LLM provider credentials. These keys can be safely shared across frontend, backend, or command-line tools without exposing underlying secrets.
  2. The product offers direct SDK integration for Node.js, Python, and cURL, enabling developers to resolve masked keys into functional API credentials within their codebase. This process occurs locally, ensuring sensitive data never leaves the user’s environment during runtime.
  3. MaskLLM includes centralized usage tracking to monitor API call volumes, costs, and access patterns across teams or projects. Administrators can enforce rate limits, rotate keys programmatically, and audit historical requests without relying on external proxy services.

Problems Solved

  1. MaskLLM addresses the risk of API key leakage in distributed systems, which can lead to unauthorized usage and substantial financial losses. Traditional methods like hardcoding keys or using unsecured environment variables expose organizations to credential theft and misuse.
  2. The product targets developers, DevOps teams, and enterprises managing multiple LLM integrations (e.g., OpenAI, Anthropic) across staging and production environments. It is particularly relevant for organizations requiring granular control over API access in microservices architectures.
  3. Typical use cases include securely sharing API keys with third-party contractors, rotating credentials after employee offboarding, and isolating API usage per department or project to track costs. It also prevents key exposure in client-side applications or public repositories.

Unique Advantages

  1. Unlike API proxy services, MaskLLM operates without routing requests through external servers, maintaining end-to-end control over data flow and reducing latency. This architecture avoids compliance hurdles associated with third-party data processing.
  2. The product innovates with backend-as-gateway functionality, where the user’s existing infrastructure serves as the control plane for key resolution. This eliminates dependency on proprietary middleware while supporting custom authentication layers and logging systems.
  3. Competitive advantages include sub-50ms overhead for key resolution, compatibility with all LLM providers, and open-source SDKs that allow customization of encryption methods or key rotation policies. The 2-minute setup process contrasts with complex proxy service integrations.

Frequently Asked Questions (FAQ)

  1. How does MaskLLM differ from traditional API key management systems? MaskLLM specializes in LLM API security with provider-agnostic key masking, whereas generic systems lack native LLM cost-tracking features. It resolves keys locally without external API calls, unlike cloud-based vaults that introduce network dependencies.
  2. Can MaskLLM work with private LLM deployments? Yes, MaskLLM’s SDK supports custom endpoints, allowing masked keys to secure access to self-hosted models like Llama 2 or GPT-J. Key rotation and usage analytics function identically across public and private LLMs.
  3. What happens if a masked key is compromised? Administrators can instantly revoke the compromised key via the MaskLLM portal without altering master API credentials. The system logs all resolution attempts, enabling forensic analysis of unauthorized access patterns.

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