The Trust Layer for Humans, Organizations, AI Agents, and Machines
Nuggets provides the trust infrastructure required to run autonomous systems safely in production. We make identity, authority, and accountability verifiable at the moment actions are taken, so autonomous behavior is provable, auditable, and compliant by design. Nuggets sits across existing IAM, PAM, and cloud infrastructure, extending them with the control primitives needed when AI agents and machines are allowed to act, not just advise.Trust Travels With Actions
In autonomous systems, trust is not established at login. It is established at execution. Traditional security models assume that once access is granted, subsequent actions can be implicitly trusted. That assumption breaks down when AI agents and machines act continuously across tools, clouds, organizations, and jurisdictions, often without direct human supervision. For AI systems to operate safely in production, trust must travel with every action. That means being able to prove, after the fact, that a specific action was taken by an authorized actor, on whose behalf it acted, under which authority and policy, with declared intent and valid consent.The Nuggets Trust Model
Nuggets binds six control primitives to every action: Actor IdentityVerifiable identities for humans, organizations, AI agents, and machines, cryptographically linked to the accountable principals that control them. Authority
Runtime evaluation of whether an actor is permitted to take a specific action on behalf of another entity, based on current conditions. Policy
Rules that travel with actions across tools, clouds, and organizational boundaries, enforced dynamically at execution time. Intent
A declared description of why an action is being taken and the intended outcome, bound immutably to the action. Consent
Explicit, verifiable conditions under which actions may occur, preserved as durable, auditable evidence. Accountability (Provenance)
A complete, tamper-resistant record of what occurred, creating a chain of accountability for audits, investigations, and regulatory scrutiny. Compliance is not a separate system. It is the natural outcome of enforcing these control primitives at the moment of action. For more details, go to Key Concepts
Core Solutions
IdentityVerifiable identity infrastructure for humans, organizations, AI agents, and machines, built with privacy-first architecture and cryptographic verification. AI agent and machine identities are issued by and cryptographically linked to the humans and organizations they represent. Every autonomous action is attributable to a responsible principal, with persistent audit trails and strong protection against spoofing, deepfakes, and synthetic identity attacks. Authentication
Passwordless authentication and fine-grained access control using biometrics, zero-knowledge proofs, and delegated permissions. Authentication is continuous, not one-time. AI agents are verified at each meaningful action, not just at deployment. Nuggets works alongside existing CIAM, IAM, and PAM systems, adding action‑level assurance, real-time consent, and precise control over what agents can access and do. Human-in-the-Loop Controls
Cryptographically enforced approval and consent workflows for higher‑risk actions. Real‑time approvals via secure notifications allow AI agents to operate autonomously while pausing for explicit authorization when required. Approval paths adapt dynamically based on action type, risk, and policy, preserving human control without breaking automation. Payments
Identity‑verified payments across traditional and emerging payment rails. Each transaction is cryptographically bound to verified identity, authority, and consent. This enables AI agents to execute secure autonomous transactions while eliminating fraud, reducing false positives, and producing tamper-proof payment evidence. Compliance and Audit
Privacy‑preserving compliance infrastructure with audit-grade evidence built in. Nuggets’ decentralized architecture removes the need for organizations to store personal data, eliminating primary breach risk. Encrypted compliance proofs can be selectively disclosed to regulators and auditors without exposing underlying data. Supports GDPR, CCPA, PSD2, AML, and emerging AI governance requirements. Personal Data Control
User‑controlled data access with selective disclosure and zero-knowledge verification. Personal data remains under user control and decentralized. AI agents request access to encrypted data only with explicit permission, while zero-knowledge proofs allow verification without revealing raw information.