What is AgentVault
The security layer that enables AI agents to safely access credentials, memory, and external systems.
What is AgentVault?
AgentVault is the security and control layer for AI agents. It defines how agents:
- Access credentials such as API keys and secrets
- Interact with external systems like APIs, databases, and services
- Operate safely in real-world environments
AgentVault sits between the agent and everything it touches. Instead of giving agents direct access, it introduces a controlled layer that evaluates every request, applies permission rules, and logs all actions.
Why AgentVault Exists
AI agents are becoming more powerful. They can execute transactions, access APIs, automate workflows, and make decisions in real time.
But today, most agents are built with no proper security model.
Most systems:
- Store credentials in environment variables
- Give agents unrestricted access
- Do not enforce permissions
- Do not track actions
Real Risks
- API keys can be exposed through prompt injection
- Agents can execute unintended actions
- No way to trace what happened
- No way to stop an agent in real time
The Solution
AgentVault introduces a structured control layer that limits what agents can access, ensures credentials are never exposed, tracks every action, and enables real-time intervention.
Core Principle
AgentVault follows a zero-trust model:
- Default state: no access
- Access must be explicitly granted
- Permissions are scoped and limited
- Every action is logged
- Access can be revoked at any time
How AgentVault Works
Key Capabilities
- Secure Credential Storage — Credentials are encrypted, stored in a secure vault, never directly exposed to agents
- Permission Profiles — Define what an agent can do: allow access to specific endpoints, deny certain actions, filter or redact sensitive data
- Session Control — Start and stop sessions, limit duration, revoke access instantly
- Audit Trail — Every action is recorded with request details, decisions, timestamps, and execution results