AI Agents

Bind AI agents to real owners and policies so users know who's behind the bot, and what it is allowed to do.

The Problem: Unverifiable AI agents

AI agents are rapidly becoming part of everyday life, from customer service bots to enterprise copilots. But most agents today operate inside a trust and accountability gap.

No Clear Ownership

It’s difficult to prove who controls an AI agent; anyone can spin up a chatbot and impersonate a person, brand, or organization.

Risk of Impersonation

Fraudsters can deploy fake agents pretending to represent trusted entities.

Lack of Accountability

Without proof of control, there is no verifiable link between the agent’s actions and its owner.

Unrecognized Economic Activity

AI agents generate economic value, but without verifiable ownership links, regulators can’t account for or tax their work.

Ecosystem Fragmentation

Each AI vendor builds proprietary trust systems, creating silos and preventing interoperability.

This erodes trust between humans, organizations, and AI services—and creates regulatory and fiscal challenges when governments seek to identify and tax AI-produced work.

The Solution: Verifiable AI Agents

With Verana, individuals and organizations can publish verifiable AI agents that are cryptographically bound to real owners, policies, credentials, and audit trails—anchored in an interoperable trust ecosystem.

Bind AI Agents to Verifiable Owners

Owner Credential Binding

Attach verifiable credentials that prove the agent’s owner (person, organization,…).

Owner identity is issued through recognized ecosystems (government IDs, corporate registries, etc.).
Agents become legally accountable for actions taken.

Cryptographic Signatures

Every action or message produced by the agent can be C2PA signed with its DID keys.

Users can verify provenance.
Prevents tampering or spoofing of agent responses.

Expose and Enforce Policies Publicly

Align AI behavior with transparent, verifiable policies enforced through credentials and trust registries.

Declared Policies

Publish policy credentials describing what the agent is allowed to do.

Gated Actions

Require additional credential presentations for sensitive actions (payments, contract signatures, data access).

Real-Time Controls

Policies can be updated or revoked instantly, without patching the AI stack.

Audit Trails & Verifiable Logging

Generate immutable logs and verifiable proofs that tie every agent action back to its owner and policy context.

Tamper-Evident Logs

Record interactions and state changes with cryptographic guarantees.

Logs reference the agent’s DID and policy IDs.
Supports regulatory compliance and dispute resolution.

Accountability Proofs

Issue verifiable credentials for important events (deliveries, contract fulfillment, escalations).

Create auditable chains of responsibility.
Enable post-incident forensics and reporting.

Formalize AI-Driven Economic Activity

Verana turns AI labor into verifiable economic activity that can be regulated, monetized, and taxed.

Verifiable Billing

Agents can issue verifiable receipts detailing the work performed.

Regulatory Compliance

Governments can track AI-generated income without revealing private user data.

Interoperable Marketplaces

Agents participate across ecosystems while retaining portable identities and credentials.

Case Study: Customer Support Copilot

A telecom provider deploys a customer support copilot that handles 70% of incoming requests with verifiable ownership and policy controls.

30% reduction in escalations thanks to policy-gated actions.
25% faster resolution time with verifiable audit trails.
Automatic issuance of satisfaction credentials after each interaction.
Illustration of AI customer support copilot interacting with user and logging actions

Ready to Build Verifiable AI?

Start creating AI agents with verifiable ownership, clear policies, and audit-ready accountability.

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