Pincer FAQs

Question 1

What types of AI models and tools can Pincer secure?

Accepted Answer

Pincer secures API calls for a wide range of LLMs and tools, including Google Gemini, OpenAI (GPT models), Anthropic Claude, OpenRouter, and any OpenAI-compatible APIs (like Azure OpenAI, Ollama, vLLM). It also enables agents to securely sign or decrypt data using GPG keys without exposing them.

Question 2

How does Pincer secure API keys from AI agents?

Accepted Answer

Pincer employs a 'Proxy Token Architecture.' Agents only interact with ephemeral proxy tokens, while Pincer securely manages, Just-In-Time decrypts, and injects the real API keys from your OS-native keychain only when making external tool calls. This means agents never see the actual credentials.

Question 3

What core problem does Pincer solve for AI agents?

Accepted Answer

Pincer eliminates the 'Lethal Trifecta' vulnerability by preventing AI agents from directly accessing sensitive API keys. These keys are often stored in plain text, making them highly vulnerable to prompt injection or host intrusion attacks.

Question 4

What are Pincer's main security features?

Accepted Answer

Key security features include hardware-backed master key storage, zero-footprint memory scrubbing of secrets post-use, fine-grained per-agent, per-tool access authorization policies, and tamper-evident audit logs with SHA-256 chain-hashing for all tool calls. It also offers secure GPG key management.

Pincer

Pincer

Key Features

Use Cases

Key Features

Use Cases