Trust That Extends Across AI Ecosystems
Enable AI agents to interact with other agents while verifying identity, permissions, and trustworthiness before any action is taken.
A Unified Trust Layer for Autonomous AI
Trust That Travels Across Systems
Create verifiable trust guarantees that persist as agents move across frameworks, vendors, and environments.
Policy-Enforced Communication
All agent-to-agent interactions are evaluated against runtime policies, allowing or blocking actions based on role, risk, context, and organisational rules.
Verifiable Interaction Records
Each A2A exchange is cryptographically attested, creating tamper-proof records that prove who communicated, what was exchanged, and under what conditions.
How OpenBox's A2A Communications are Used
Cross-Organization Agent Collaboration
Allow agents from different companies to interact while verifying identity, permissions, and trustworthiness in real time.
Agent-to-Agent (A2A) Communication
Verify which agent you're interacting with, what it’s authorised to do, and whether it can be trusted before interactions occur.
Third-Party AI & Vendor Integration
Safely interact with external AI systems without assuming trust in their internal controls or governance processes.
Ecosystem-Level AI Workflows
Operate AI workflows that span multiple systems and organisations while maintaining a consistent trust model.
How it Works
Every agent-to-agent message is signed, verified, and policy-checked in real time, so multi-agent workflows stay secure, governed, and fully auditable end to end.
