Nuggets addresses one of the most urgent and overlooked challenges in today’s rapidly evolving AI landscape - identity authenticity. As agentic AI systems become more autonomous, acting on our behalf, making decisions, and initiating transactions, the need for secure, verifiable identity becomes mission-critical.

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Rethinking Identity & Trust in the Age of AI

Identity verification has traditionally meant proving you’re human via CAPTCHAs, social logins, or basic authentication checks. That approach was sufficient for a world where humans were the only actors online. But AI has fundamentally changed the rules. We now have bots and agents acting on behalf of real people - making purchases, managing schedules, conducting transactions. While this unlocks enormous potential, there’s a critical problem: we can’t see or verify who - or what - is really behind the action. Their identity and intent are invisible. When we can’t verify who’s behind an action, trust breaks down - and risk multiplies. This isn’t a hypothetical problem; it’s happening right now across sectors including finance, healthcare, and communications. We’re witnessing an identity authenticity crisis where deepfakes and synthetic fraud are becoming daily realities.

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The Missing Trust Layer for AI Systems

As agentic AI takes on more responsibility - interacting, transacting, making decisions - we face a critical gap: trust. Protocols like Agent-to-Agent (A2A) and Model Context Protocol (MCP) are enabling coordination and access between agents and tools. But what’s missing is a layer that secures identity, intent, and authorization for those actions - especially when they involve personal data or financial transactions. Nuggets adds a purpose-built Trust Layer on top of agent protocols, securing the entire value chain of AI agent interactions.

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Introducing the Nuggets Trust Layer

Our comprehensive trust infrastructure includes five  essential components:
  • Sovereign Identity: Verifiable and persistent digital identity that works across all interactions and platforms, eliminating the invisibility problem of AI actions.
  • Personal Data Control: Secure, privacy-preserving handling of user data through decentralized storage, eliminating data breach risks by removing PII from corporate systems.
  • Authentication: Verifying actions and intent, not just access, ensuring every AI interaction is properly authorized and accountable.
  • Multi-Rail Payments: Secure, agent-enabled transactions across traditional and emerging payment rails with cryptographic verification and human oversight.
  • Compliance: Privacy-preserving regulatory compliance with dynamic consent management and audit capabilities.

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Built on Open Standards

Nuggets leverages:
  • W3C Standards: Decentralized Identifiers (DIDs) and Verifiable Credentials (VCs), ensuring interoperability and future-proofing your identity infrastructure
  • AI Protocol Integration: Integration with emerging AI protocols including Model Context Protocol (MCP) and Agent2Agent (A2A), providing the trust layer these systems need but don’t provide
With post-quantum encryption and confidential computing capabilities, Nuggets ensures your AI identity infrastructure remains secure as technology evolves. Our architecture ensures we have no access to user data on the system - data is only accessed during the processing required to issue Verifiable Credentials.

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Implementation Approach

This documentation details how to implement trusted AI systems and digital identity using Nuggets. Whether you’re building AI-first applications, modernizing existing enterprise systems, or preparing for the autonomous agent revolution, these guides provide the technical foundation you need.