6.1
Identity & Access Control
In a distributed intelligence network such as AIGrid, identity and access control form the foundation upon which trust, governance, and security mechanisms operate. Before actors can collaborate, invoke services, access models, or participate in execution graphs, the system must be able to answer several fundamental questions: Who is the actor? What authority do they possess? What resources are they allowed to access?
Identity and access control mechanisms provide the protocols through which these questions are resolved. They establish verifiable identities for actors, define the permissions associated with those identities, and enforce policies that regulate how actors interact with resources across the network.
Unlike traditional centralized systems where identity management is controlled by a single authority, AIGrid operates in a decentralized, polycentric environment where many actors coexist across multiple governance domains. Actors may represent individuals, organizations, AI agents, infrastructure providers, or autonomous services. Each of these entities must be able to authenticate itself and participate in collaborative workflows without relying on a centralized identity provider.
To support this model, the identity and access control layer introduces mechanisms that allow actors to maintain self-sovereign or federated identities, enabling them to interact securely with other participants across the grid.
These mechanisms are built around four key components:
- IAM (Identity and Authentication Management) — establishes verifiable actor identities
- RBAC (Role-Based Access Control) — assigns permissions based on actor roles
- ABAC (Attribute-Based Access Control) — evaluates contextual conditions during access decisions
- Signing & Verification — ensures the authenticity and integrity of artifacts exchanged across the network
Together, these components form the identity substrate of AIGrid, enabling actors to authenticate themselves, prove authority, and interact securely with other participants.
IAM (Actor Identity)
Decentralized Identity Infrastructure
The Identity and Authentication Management (IAM) subsystem assigns verifiable identities to all actors participating in the AIGrid ecosystem. These identities allow actors to authenticate themselves when interacting with services, executing workflows, or exchanging resources with other participants.
In centralized systems, identity is often issued and verified by a single authority such as an authentication server or corporate directory. In contrast, AIGrid allows actors to maintain self-sovereign or federated identities that can be verified across multiple governance domains.
Each actor identity typically consists of a cryptographically verifiable identifier associated with authentication credentials. These credentials allow actors to prove ownership of their identity when interacting with other components of the platform.
For example, when an actor submits a workload specification or invokes an inference service, the system verifies the identity of the requester using cryptographic authentication mechanisms. Once verified, the actor’s identity can be used to determine what permissions they possess and which resources they are authorized to access.
The IAM subsystem also supports identity federation, allowing actors from external systems to participate in the AIGrid ecosystem without requiring complete re-registration within the platform. Through federated identity protocols, actors can authenticate using credentials issued by trusted identity providers while still complying with AIGrid governance policies.
By enabling decentralized identity management, IAM ensures that actors retain control over their identities and credentials while remaining interoperable across the broader intelligence network.
RBAC (Role-Based Access Control)
Permission Framework
While IAM establishes who an actor is, Role-Based Access Control (RBAC) defines what that actor is permitted to do.
RBAC assigns permissions to actors based on predefined roles within the system. These roles represent categories of authority that determine how actors interact with platform resources.
For example, different roles may grant permission to:
- deploy AI models or services
- submit workload specifications
- access specific datasets or memory resources
- manage infrastructure nodes or governance policies
Instead of assigning permissions directly to individual actors, RBAC associates permissions with roles. Actors are then granted roles that correspond to their responsibilities within the ecosystem.
This approach simplifies access management by allowing administrators or governance protocols to define permission sets once and apply them consistently across many actors.
RBAC also supports decentralized governance structures. Roles may be defined within different governance domains, allowing actors to operate under different permission frameworks depending on the context of their interactions.
For instance, an actor may possess one role within a private organizational cluster while holding a different role when participating in public intelligence workflows across the broader AIGrid network.
Through this mechanism, RBAC provides a structured permission framework that regulates how actors interact with resources and services across the platform.
ABAC (Attribute-Based Access Control)
Contextual Authorization
While RBAC assigns permissions based on predefined roles, complex distributed environments often require more dynamic decision-making processes. This need is addressed by Attribute-Based Access Control (ABAC).
ABAC evaluates access requests based on contextual attributes rather than relying solely on static role assignments. These attributes may include characteristics such as the trust level of the requesting actor, the sensitivity of the requested resource, the location of the actor within the execution graph, or the policy constraints governing the current workflow.
When an actor attempts to access a resource or invoke a service, the ABAC system evaluates a set of rules that consider these contextual attributes. Access may be granted or denied depending on whether the request satisfies the conditions defined by the policy framework.
For example, a dataset may be accessible only to actors whose trust scores exceed a certain threshold or whose workloads have been verified as compliant with specific governance policies.
ABAC therefore allows access decisions to adapt dynamically to changing conditions within the system. This flexibility is particularly important in decentralized environments where actors may interact under diverse governance regimes and operational contexts.
By incorporating contextual evaluation into the authorization process, ABAC enables fine-grained access control that reflects the complex relationships between actors, resources, and policies within the AIGrid ecosystem.
Signing & Verification
Trust Anchoring
In distributed intelligence environments, actors frequently exchange artifacts such as workload specifications, AI models, inference results, and policy definitions. Ensuring the authenticity and integrity of these artifacts is essential for maintaining trust across the ecosystem.
The Signing and Verification subsystem provides cryptographic mechanisms that allow actors to verify the origin and integrity of these artifacts.
When an actor produces an artifact—such as a model or workload specification—they may sign it using their cryptographic credentials. This signature creates a verifiable record that confirms the artifact originated from the actor’s identity and has not been altered since it was created.
Other participants in the ecosystem can then verify the signature using the actor’s public credentials. If the signature is valid, recipients can trust that the artifact is authentic and has not been tampered with during transmission.
Signing mechanisms also support traceability and accountability within the platform. Because artifacts are associated with specific actor identities, the system can track which actors contributed particular components to a workflow.
For example, if a model produces unexpected results or violates policy constraints, the system can identify the actor responsible for deploying that model and initiate appropriate governance responses.
Through these mechanisms, signing and verification provide the cryptographic trust anchors that allow distributed actors to exchange artifacts confidently within the AIGrid ecosystem.
Identity as the Root of Trust
Together, IAM, RBAC, ABAC, and signing mechanisms establish the identity and authorization framework that underpins all interactions within the platform.
IAM provides verifiable identities for actors participating in the network. RBAC defines the baseline permissions associated with different roles, while ABAC introduces contextual evaluation mechanisms that allow authorization decisions to adapt dynamically to changing conditions.
Signing and verification ensure that artifacts exchanged between actors remain authentic and traceable, preserving trust across distributed workflows.
By combining these mechanisms, AIGrid establishes identity as the root of trust for the entire system. Every action performed by an actor—from invoking inference services to contributing models or initiating workflows—can be traced back to a verified identity operating within clearly defined access policies.
This identity framework enables decentralized intelligence ecosystems to operate securely while preserving the autonomy and sovereignty of individual actors.
Without such mechanisms, distributed AI systems would struggle to maintain trust between participants. With them, AIGrid provides the foundation for secure, accountable, and cooperative intelligence networks capable of supporting large-scale collaboration among independent actors.