AgentVault Technology

Overview

AgentVault is built as a runtime security layer.

It does not just store secrets. It controls how those secrets are used.

This is a key difference.

Traditional systems protect data at rest. AgentVault protects data during execution.

---

Core Design Layers

AgentVault is structured into three main layers:

• Storage layer

• Permission layer

• Execution layer

Each layer plays a distinct role.

---

1. Storage Layer

Encrypted Vault

The Vault is responsible for storing credentials securely.

• Uses strong encryption

• Protects API keys and secrets

• Ensures data cannot be accessed directly

---

Key Properties

• Secrets are never exposed in raw form

• Access is mediated through AgentVault

• Storage is isolated from agent logic

---

Local-First Security

AgentVault follows a local-first approach:

• Credentials remain in user-controlled environments

• Reduces dependency on centralized systems

• Minimizes risk of large-scale breaches

---

2. Permission Layer

Profiles

Profiles define what an agent is allowed to do.

Each profile contains rules such as:

• Which APIs can be accessed

• Which actions are allowed

• Which data is restricted

---

Rule Types

AgentVault supports different rule behaviors:

• Allow → grant access

• Deny → block access

• Filter → modify or redact output

---

Granular Control

Permissions can be applied at multiple levels:

• Service level

• Endpoint level

• Action level

• Data field level

This allows precise control over agent behavior.

---

3. Execution Layer

Controlled Execution Model

Agents never interact with systems directly.

Instead:

• All requests go through AgentVault

• AgentVault performs validation

• Actions are executed on behalf of the agent

---

Request Lifecycle

1. Agent creates request

2. Request is intercepted

3. Profile is evaluated

4. Decision is made

5. Execution happens if allowed

6. Response is returned

---

Secure Mediation

This model ensures:

• No direct credential exposure

• No uncontrolled execution

• Full visibility into actions

---

Session Management

Each agent operates within a session.

Sessions define:

• Duration

• Scope of permissions

• Active context

---

Session Capabilities

• Start new session

• Pause execution

• Terminate session

• Revoke permissions

---

Audit System

AgentVault logs every action.

Each log includes:

• Request details

• Decision outcome

• Timestamp

• Execution result

---

Why This Matters

• Debug issues quickly

• Monitor agent behavior

• Ensure compliance

• Build trust in automation

---

Security Model

AgentVault enforces:

• Zero trust by default

• Explicit permissioning

• No direct access to secrets

• Full traceability

---

Integration Model

AgentVault is designed for easy integration.

You can:

• Wrap existing agent execution

• Add permission profiles

• Connect credential storage

---

Compatible Systems

• AI agent frameworks

• APIs and SaaS tools

• Inflectiv datasets and agents

---

Key Advantages

• Prevents credential leaks

• Enables safe automation

• Provides full control over execution

• Scales across multiple agents