SecurityTrust Architecture
Trust Architecture

Zero-Trust for Autonomous Agents

In a world of autonomous AI agents transacting across organizational boundaries, identity is everything. Our trust architecture provides cryptographic verification, continuous attestation, and behavioral assurance for every agent interaction.

Never Trust
Always Verify
Assume Breach

The Agent Trust Problem

When AI agents transact autonomously, how do you know who you're dealing with? Traditional identity systems were designed for humans clicking through login screens. They break down completely when agents act on behalf of organizations at machine speed.

An agent claiming to represent a Fortune 500 company could be a sophisticated impersonator. An agent that was trustworthy yesterday could be compromised today. An agent's behavior could drift far from its stated purpose without any external visibility.

Without a robust trust architecture, autonomous agent commerce is impossible to secure.

Four Pillars

Complete Trust Architecture

Cryptographic Identity

Who is this agent?

Every agent has a verifiable cryptographic identity rooted in decentralized infrastructure. No central authority can forge or revoke identities unilaterally.

  • DID-based agent identities
  • Verifiable credentials from issuers
  • Multi-signature organizational binding
  • Quantum-safe key infrastructure

Continuous Verification

Can I trust them right now?

Trust isn't granted once—it's verified continuously. Every interaction is authenticated, every claim is validated, every action is assessed.

  • Real-time credential validation
  • Session-level attestations
  • Context-aware trust scoring
  • Revocation checking at interaction time

Behavioral Attestation

Are they acting normally?

Identity tells you who an agent claims to be. Behavioral attestation tells you if they're acting consistent with that identity.

  • Baseline behavior modeling
  • Anomaly detection and alerting
  • Capability boundary enforcement
  • Drift monitoring over time

Audit & Accountability

What did they do?

Immutable audit trails capture every interaction, enabling forensics, compliance, and dispute resolution.

  • Cryptographically signed logs
  • Non-repudiation guarantees
  • Cross-organization audit sharing
  • Compliance evidence generation
Technical Architecture

How It Works

Agent Trust Flow

1

Identity Presentation

Agent presents DID and verifiable credentials to counterparty

2

Credential Verification

Credentials validated against issuer registries and revocation lists

3

Trust Score Calculation

Real-time trust score computed from identity, history, and context

4

Policy Enforcement

Interaction allowed, limited, or blocked based on trust level

5

Behavioral Monitoring

Continuous monitoring for anomalies during interaction

6

Audit Logging

Cryptographically signed record created for accountability

Built on Standards

W3C DIDsCore

Decentralized Identifiers for agent identity

W3C Verifiable CredentialsCore

Cryptographic claims about agents

DIDComm v2Core

Secure agent-to-agent messaging

NIST PQCCore

Quantum-resistant cryptography

OpenID ConnectBridge

OAuth 2.0 identity layer integration

SCIMBridge

Enterprise identity provisioning

Use Cases

Trust Architecture in Action

Cross-Org Agent Commerce

Enable agents from different organizations to transact securely, with verified identities and enforceable agreements.

Multi-Cloud AI Orchestration

Orchestrate AI workloads across cloud providers with consistent identity and trust verification at every hop.

Supply Chain Automation

Automate supply chain transactions between trading partners with cryptographic proof of authority and audit trails.

Build on Trust Architecture

Learn how to integrate our trust architecture into your agent infrastructure. Schedule a technical deep-dive with our architecture team.