Organisations struggle to adopt AI Agents at scale because they can’t prove identity, capabilities or compliance. Without trust, agents remain unverified, siloed, and often blocked from production use.
Anyone can create an agent, but you can’t verify who’s behind it.
Unverified agents expose data, systems, and money.
Enterprises need audit trails and controls before deploying at scale.
No easy way to package trust and charge for it.
Verify the identity, origin, and ownership of every AI agent before it interacts with your systems. Prevent spoofing and ensure only trusted agents gain access.
Launch Trust Graphs in minutes with no complex setup. Whether you’re a developer or enterprise, our platform makes it easy to create and manage AI Agent identities.
Every agent’s identity, capabilities, and permissions are backed by cryptographic, verifiable credentials, ensuring trust that can’t be faked or altered.
Apply rules, policies, and permissions seamlessly. Ensure compliance and accountability across your agent ecosystem, with full audit trails built in.
Pricing scales with use, so you only pay for what you deploy, while interoperability ensures agents work across ecosystems.
Allow agents to prove their authenticity, accreditations, and origin, through tamper-proof trust registries.
Enable secure, standardised communication and credential exchange between AI agents, models, and tools. Including the first MCP servers to enable AI agents to read and write DIDs, issue and present VCs, and anchor their identity on a decentralised network.
Enable Agents to hold many, fine-grained, and context specific credentials anchored by trust registries to prove their right to represent a given individual or organisation, and competency within a given situation.
Ensure full compatibility across ecosystems. Built to open standards, including W3C (DID Core, DID-Linked Resources, Decentralised Trust Chains), and Trust over IP (Trust Registry Query Protocol).
A Trust Graph for AI agents is a dynamic register that verifies and authorises AI agents and the humans behind them. It establishes who an agent is, who controls it, and what it is permitted to do, using verifiable credentials and interaction history to build a transparent reputation over time. Trust Graphs can include hierarchical relationships (e.g. parent–child agents), connect across ecosystems, and link to other Trust Graphs, enabling trusted interaction between agents, humans and systems.
Agent Graph uses verifiable credentials to create secure, tamper-proof identities for agents. These credentials show who invented the agent, what permissions it has, what it’s capable of, and more.
Agent Graph makes it easy to plug into your current AI platforms, workflows, or applications. You can start small and scale as your agent ecosystem grows.
Agent Graph follows global standards for identity, security, and governance. It provides audit trails, policy enforcement, and interoperability, helping enterprises meet compliance requirements while keeping agents safe and accountable.
