AI agent secret management, explained plainly.

Practical guides for scoping API keys, provisioning coding agents, replacing risky env-file habits, and keeping credential resolution auditable.

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Pillar guide

What is AI agent credential management?

AI agent credential management is the process of issuing, scoping, rotating, and auditing credentials used by non-human agents. The goal is to let agents complete real work without giving them permanent access to every API key, login, or production secret a human operator can reach.

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Security model

How ScopeHold protects agent secrets

ScopeHold keeps AI agent secrets out of chat, logs, and local files by combining scoped agent identities, one-time provisioning, encrypted secret custody, MFA before human reveal, audit logs, rate limits, and plan-limit enforcement.

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MCP security

MCP secret management

MCP secret management keeps model-context servers and tools from relying on broad, copied API keys by resolving scoped credentials at runtime.

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Claude Code

Claude Code secrets

Give Claude Code access to project secrets without pasting raw API keys into chat by using scoped agent credentials and runtime secret resolution.

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Cursor

Cursor agent secrets

Cursor-style AI coding workflows need scoped secret access so local agents can work without copying production API keys into prompts or .env files.

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Codex

Codex agent secrets

Codex agents can work with sensitive APIs more safely when they use scoped secret resolution instead of raw keys pasted into chat or local files.

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API keys

API key management

API key management for AI agents means storing keys centrally, granting them narrowly, resolving them at runtime, and auditing each use by agent identity.

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Agentic AI

Agentic AI secret management

Agentic AI secret management gives autonomous or semi-autonomous agents scoped, auditable access to credentials without turning every task into a manual key-sharing workflow.

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.env files

.env alternative

.env files are convenient for local development, but AI agents need scoped runtime credential resolution when secrets are shared across tools, projects, and machines.

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Identity

Non-human identity

Non-human identity for AI agents means giving each runtime a distinct identity, access scope, credential path, and audit trail instead of borrowing a human user's secrets.

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Scoped access

Scoped credentials

Scoped credentials limit what an AI agent can resolve by workspace, project, provider, secret, and direct grant, reducing blast radius without slowing every task.

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