Secure Agentic AI Access

Scale Agentic AI access safely and without fear of losing control. Prevent AI Agents from operating without authorization and accessing sensitive systems or data.

Request Sandbox Access

Request Sandbox Access and start exploring Raidiam Connect.

Once you do so, we will contact you with your environment details. Default Authorities and Domains will be added for you, along with an OpenID Federation.

Add Roles

Designing AI Agent Ecosystem

Your agentic AI ecosystem’s design will largely depend on your goals and operating model. You may be building an AI Agent Marketplace that connects third-party developers and consumers, governing internal AI Agents that automate business processes within your organization, or even establishing a shared AI Agent Ecosystem that spans your organization, customers, and partners. Each scenario defines different requirements for trust, interoperability, and governance — shaping how agents interact, authenticate, and exchange data.

Need help? Don't hesitate to contact us.

Define Roles to establish the permissions and actions available to organizations and their resources within an AI Agent ecosystem.

In most cases, roles are assigned to organizations, which can then delegate those roles to their applications or AI Agents. This allows for flexible access management across different deployment models.

Common scenarios:

• Internal setup – Roles are assigned only within a single organization. Applications or AI Agents use those roles to access internal systems and data.

• Collaborative ecosystem – Roles are granted to partner or customer organizations, which can then manage their own agents and permissions.

• AI Agent Marketplace – Roles define how third-party providers and consumers interact securely within a shared ecosystem.

This model enables a consistent way to manage access and trust — whether you operate a closed environment or a multi-organization agent network.

Role Examples for Agentic AI Ecosystem

Role	Description	Typical responsibilities
Planner / Orchestrator Agent	Breaks down high-level objectives into smaller tasks and assigns them to other agents.	• Accepts a user goal • Decomposes it into subtasks • Monitors progress and handles fallback
Retriever / Knowledge Agent	Gathers and provides relevant data or context needed by other agents.	• Fetches documents or data • Maintains memory or knowledge base • Supplies context for reasoning
Executor / Worker Agent	Performs concrete actions, such as generating content, calling APIs, or updating systems.	• Executes assigned tasks • Uses tools or APIs • Reports results
Evaluator / Critic Agent	Reviews the outputs of other agents to ensure quality, accuracy, and compliance.	• Validates results • Flags issues or inconsistencies • Triggers retries or escalation
Coordinator / Communication Agent	Manages communication and synchronization between agents and humans.	• Routes messages • Maintains shared state • Ensures task dependencies are met
Domain-Specialist Agent	Focuses on a specific business domain, leveraging specialized tools or datasets.	• Executes domain-specific logic • Applies domain rules • Provides expert recommendations
Gatekeeper / Trust Agent	Enforces access, governance, and audit policies within the ecosystem.	• Validates agent identity • Checks permissions • Logs actions for audit and compliance

Establish Trust with OpenID Federation

When you requested Sandbox Access, we created an OpenID Federation for you. It allows organizations and their technical resources—called Entities—such as Authorization Servers (OpenID Providers, or OPs) and Relying Parties (applications or clients)—to establish mutual trust without a direct relationship.

In an Agentic AI ecosystem, these entities typically include AI Agents (applications or clients), Authorization Servers protecting the APIs, and Resource Servers hosting them.

If needed, add Federations dividing your Agentic AI ecosystem even further.

Add AI Agents

Add Applications to represent your Agentic AI, and assign the Roles you defined earlier.

Once added, your AI Agent receives its credentials and is linked to a common Trust Anchor that any other entity in your ecosystem can trust. You can publish its entity statement so that its origin and status can be verified when accessing your APIs or data. Request public/private key pairs or certificates to establish secure mTLS connections, use sender-constrained access tokens, sign or encrypt messages, and more.

Onboard Organisations

1. Add Organisations–your business units, partners, or customers–to participate in the Agentic AI Ecosystem.

2. Assign Roles to Organisations

3. Delegate Organisation Administration further, enabling Organisation Administrators to register their technical resources like applications or servers.

Once the organizations are onboarded and they register the technical resources like apps, APIs, or servers, Raidiam Connect becomes a governance-backed Trust Registry for your Agentic AI Ecosystem.