Digital Identity for the AI Agent Economy
Enable trust, consent, and credibility in AI-to-AI interactions with verifiable credentials
Context
Know who the AI is working for
Consent
Define what AI agents are allowed to do
Credibility
Trust the output with verifiable credentials
The Challenge of AI Agent Trust
Identity Crisis
Autonomous AI agents lack verifiable identity, making it impossible to know who they represent or what they're authorized to do.
Fragmented Communication
No standardized authentication between agents leads to incompatible systems and security vulnerabilities.
Missing Audit Trails
AI decisions lack transparent audit trails, creating compliance nightmares and accountability gaps.
Compliance Chaos
Cross-border AI interactions struggle with varying regulatory requirements like eIDAS 2.0 and GDPR.
Complete Digital Identity Infrastructure for AI Agents
Verifiable Credentials (VC)
Issue tamper-proof digital credentials following W3C and IETF standards. Enable trusted attestations about agent capabilities, permissions, and identity.
- W3C VC Data Model compliance
- Cryptographic proof of authenticity
- Selective disclosure capabilities
Decentralized Identifiers (DID)
Self-sovereign identity for AI agents with no central authority dependency. Create unique, persistent identifiers that agents control.
- W3C DID specification compliant
- Blockchain-agnostic architecture
- Cryptographic key management
MCP Protocol Support
Seamless integration with Model Context Protocol for standardized tool and data access. Compatible with Claude, ChatGPT, Gemini, and emerging AI platforms.
- Native MCP server integration
- Standardized resource access
- Cross-platform compatibility
A2A Communication
Agent-to-agent secure messaging using Google's A2A protocol. Enable task delegation, coordination, and secure information exchange between autonomous agents.
- Google A2A protocol integration
- End-to-end encryption
- Task orchestration capabilities
Payment Integration
Crypto and fiat payment support with automated transaction authorization. Enable agents to conduct financial transactions with proper authentication and limits.
- Multi-currency support
- Smart contract integration
- Automated compliance checks
eIDAS 2.0 Ready
EU compliance built-in with cross-border interoperability. Future-proof your AI systems with upcoming regulatory requirements.
- eIDAS 2.0 framework compliance
- Cross-border recognition
- Digital wallet integration
Simple Integration, Powerful Results
Register AI Agent
Create a unique Decentralized Identifier (DID) for your AI agent and define its capabilities, operational scope, and authorization levels.
POST /api/agents/register
{
"name": "CustomerServiceBot",
"capabilities": ["query_orders", "process_refunds"],
"authorization_level": "standard"
}
Issue Credentials
Assign verifiable credentials that define permissions, roles, and operational boundaries. Set up fine-grained access controls and compliance parameters.
// Issue verifiable credential
const credential = await issueVC({
subject: agentDID,
claims: { role: "customer_service", level: 2 }
})
Enable Communication
Connect agents via MCP and A2A protocols. Establish secure communication channels with automatic credential verification and trust establishment.
// Connect via MCP
await mcpClient.connect({
serverUri: "mcp://agent-server",
credentials: verifiableCredential
})
Monitor & Audit
Track all agent interactions with comprehensive logging. Maintain compliance logs, performance metrics, and security audit trails in real-time.
// Real-time monitoring
monitor.trackInteraction({
agentId: "did:sov:agent123",
action: "data_query",
timestamp: Date.now()
})
Real-World Applications
Autonomous Vehicle Authentication
Enable autonomous vehicles to authenticate themselves at border crossings, interact with traffic infrastructure, and provide verifiable identity to law enforcement.
Scenario: Border Crossing
- Vehicle presents digital passport with owner credentials
- Border system verifies vehicle registration and insurance
- Automatic customs declaration and clearance
- Full audit trail for regulatory compliance
Financial Services Automation
Streamline KYC/AML processes with AI agents that can verify customer identities, conduct risk assessments, and execute authorized trading decisions.
Scenario: Automated Trading
- Trading agent authenticates with portfolio credentials
- Real-time compliance checking against regulations
- Risk-based transaction authorization
- Immutable audit trail for regulators
Healthcare AI Assistants
Enable secure patient data access and cross-institutional collaboration while maintaining HIPAA compliance and patient privacy controls.
Scenario: Cross-Hospital Consultation
- Medical AI presents healthcare provider credentials
- Patient consent verification through digital signatures
- Selective disclosure of relevant medical history
- Secure collaboration between medical professionals
Supply Chain Management
Coordinate multi-agent systems for logistics optimization, vendor negotiations, and quality assurance with verifiable credentials at every step.
Scenario: Automated Procurement
- Procurement agent negotiates with supplier agents
- Verification of supplier certifications and capabilities
- Automated contract execution with digital signatures
- End-to-end traceability and compliance reporting
Built on Open Standards
Core Technology Stack
W3C Verifiable Credentials
Industry-standard format for digital credentials with cryptographic proof and selective disclosure capabilities.
W3C Decentralized Identifiers
Self-sovereign identity standard enabling agents to control their own identifiers without central authorities.
Model Context Protocol (MCP)
Standardized protocol for AI model integration with external systems, tools, and data sources.
Agent2Agent (A2A) Protocol
Google's open protocol for secure agent-to-agent communication and collaboration across platforms.
OAuth & OpenID Connect
Enterprise-grade authentication and authorization protocols with OpenID4VCI for credential issuance.
JSON-RPC & HTTP/SSE
Standard communication protocols ensuring interoperability and real-time event streaming capabilities.
Security Features
Compliance Frameworks
European Union digital identity regulation compliance
Privacy by design with data minimization principles
Enterprise security controls and operational effectiveness
Cybersecurity framework for critical infrastructure
Why Choose Soverio
For Enterprises
Reduce AI misuse risks and ensure regulatory compliance across your entire AI ecosystem.
- Minimize liability through auditable AI decisions
- Streamline compliance with automated reporting
- Protect brand reputation with trusted AI interactions
- Scale AI operations with confidence
For Developers
Simple API integration with comprehensive documentation and developer-friendly tools.
- RESTful APIs with OpenAPI specifications
- SDKs for popular programming languages
- Sandbox environment for testing
- 24/7 developer support and community
For End Users
Transparent AI interactions with granular control over data sharing and agent permissions.
- Know exactly which AI agent is accessing your data
- Grant and revoke permissions in real-time
- Audit trail of all AI interactions
- Privacy-preserving selective disclosure
For Regulators
Auditable AI decisions with standards compliance and transparent governance frameworks.
- Immutable audit trails for investigations
- Standards-based compliance reporting
- Cross-border interoperability
- Real-time monitoring and alerting
Trusted by Industry Leaders
Industry Standards & Certifications
W3C Standards Compliant
Enterprise Security
Privacy by Design
Technology Partners
Working with leading technology companies to build the future of AI agent identity
Partnership announcements coming soon
What Our Clients Say
Customer testimonials coming soon
Ready to Secure Your AI Ecosystem?
Join leading enterprises in building trusted AI agent networks