Trust Framework

Trust Layer for the AI Economy

Protect your agent-powered applications with real-time threat detection. At the heart of our trust framework lie Trust Agents, which serve as middleware to secure interactions between AI Agents and financial protocols. These agents act as the critical connectors, ensuring that each interaction is both secure and verifiable.

Trust Framework is shaping the foundation for truly trustworthy AI Agents ecosystem, one verifiable component at a time.

How It Works

The Trust Framework is an open-source TypeScript library that acts as a robust AI security middleware. It monitors and secures interactions between AI agents by providing a unified source of trust that abstracts away the complexities of diverse operational protocols. By streamlining communications and enforcing stringent security policies, the framework ensures that every interaction is seamless, secure, and fully verifiable.

Core Components

1. AI Framework Adapters Our adapters ensure seamless integration with AI frameworks through:

   • A standardized command interface

   • State and context management

   • Response formatting

   • Error handling

2. Security Layer To guarantee safe DeFi operations, the security layer incorporates multiple safeguards:

   • Transaction Security:

     • Transaction validation and signing

     • Enforcement of amount and gas limits

     • Slippage protection

     • Failure recovery

   • Protocol Security:

     • Whitelist verification

     • Protocol health checks

     • Enforcement of operation boundaries

     • Risk assessment

Data Flow

1. Command Initiation: An AI agent generates a DeFi operation command.

2. Normalization: The framework adapter standardizes the command for further processing.

3. Security Checks: The command undergoes transaction validation, protocol whitelist verification, and security boundary assessments.

4. Protocol Execution: The protocol interface executes the operation via the SDK, signing and broadcasting the transaction, with continuous monitoring to return results.

Integration Points

• For AI Frameworks: The Trust Framework provides a clean adapter interface that:

  • Accepts standardized commands

  • Handles response formatting

  • Manages state updates

  • Provides operation feedback

• For DeFi Protocols: Protocols can integrate seamlessly through:

  • Implementation of protocol-specific interfaces

  • Direct SDK integration