AgentKMS FAQs

Question 1

How does AgentKMS protect LLM API keys and sensitive data?

Accepted Answer

It vends short-lived, in-memory LLM API keys and generic secrets over mTLS. Features include a deny-by-default policy engine, granular access controls, and a tamper-evident audit trail for every operation, ensuring robust security.

Question 2

What is AgentKMS and what problem does it solve?

Accepted Answer

AgentKMS is a cryptographic proxy and credential vending service that solves the problem of insecure LLM API key and secret storage. It ensures zero secrets on disk, removing API keys from .env files and code, and securing access via mTLS.

Question 3

Can AgentKMS perform cryptographic operations?

Accepted Answer

Yes, AgentKMS acts as a cryptographic proxy, enabling secure sign, encrypt, and decrypt operations. It ensures that private key material never leaves the backend vault, exposing only the resulting signature or ciphertext/plaintext.

Question 4

What integrations and backend vaults does AgentKMS support?

Accepted Answer

AgentKMS works as an MCP server for AI coding tools like Claude Code, Cursor, and Windsurf, or as a standalone REST API. It supports OpenBao, HashiCorp Vault, and plans to integrate with AWS KMS, GCP Cloud KMS, and Azure Key Vault.

Question 5

What makes AgentKMS ideal for AI application security?

Accepted Answer

AgentKMS is purpose-built for AI, offering features like LLM-specific credential vending, MCP server compatibility, and a security model (zero secrets on disk, mTLS everywhere, short-lived tokens, granular policies) tailored to the unique risks of AI development workflows.

AgentKMS

AgentKMS

주요 기능

사용 사례

주요 기능

사용 사례