Integration Platform

API-First Design

Every feature in RiskNodes’s user interface is accessible through REST APIs. This includes assessment triggering, response collection, workflow control, analytics, and user administration.

OpenAPI Documentation

All APIs follow OpenAPI 3.1 specifications, providing interactive documentation and enabling automatic client library generation for different programming languages.

// Example: Create an agentic audit and trigger workflow
const audit = await risknodes.questionnaires.create({
  title: "AI Pull Request Audit",
  sections: secureCodingStandards,
  workflow: "agentic-review"
});

await risknodes.workflows.transition(audit.id, 'agentic-review', {
  assignTo: 'local-llM-evaluator'
});

Webhook System

RiskNodes sends HTTP notifications when events occur, such as AI agent evaluations completing, workflow transitions, or human oversight actions. Webhooks can be configured to filter events by repository, project, or risk conditions.

Delivery Reliability

sequenceDiagram
    participant Z as RiskNodes
    participant W as Webhook Endpoint
    participant R as Retry Queue
    
    Z->>W: Event Notification
    alt Success Response
        W->>Z: 200 OK
    else Failure Response
        W->>Z: 4xx/5xx Error
        Z->>R: Queue for Retry
        R->>W: Retry with Backoff
    end

Failed webhook deliveries are automatically retried with exponential backoff. Permanently failed events are captured for review, and all deliveries include cryptographic signatures for verification.

Workflow Automation

Webhooks can break builds or trigger external automation when agentic reviews transition between workflow statuses. The webhook payload includes AI findings, risk scores, and evidence that receiving systems can use to execute business logic.

Example Webhook Payload:

{
  "event": "workflow.transition",
  "audit_id": "aud_78901",
  "repository": "core-auth-service",
  "pull_request": 342,
  "from_status": "agentic-eval",
  "to_status": "human-review-required",
  "scores": {
    "overall": 65,
    "security": 40,
    "architecture_adherence": 90
  },
  "flags": ["unvalidated_input", "missing_state_transition"],
  "timestamp": "2025-10-17T10:30:00Z"
}

Conditional Execution with CEL

Webhook delivery can be controlled using Common Expression Language (CEL) guard expressions to filter noise:

// Only trigger Jira ticket creation if security score fails threshold
scores.security < 50

// Trigger auto-merge deployment if clean scan
transition.to == 'approved' && flags.empty()

// Escalate complex PRs touching regulated modules
repository == 'payment-gateway' && scores.overall < 85

Data Transformation

CEL expressions can also transform webhook payloads before delivery, allowing you to extract specific fields, calculate derived values, or format data for external systems:

{
  'pr_number': pr_context.id,
  'risk_score': scores.overall,
  'status': transition.to,
  'requires_human': "true" if scores.security < 75 else "false",
  'primary_flag': flags[0] if !flags.empty() else "none"
}

This approach keeps business logic in your systems rather than locked in platform configuration. Automation can be implemented in any language that handles HTTP requests, tested independently, and scaled cleanly inside your Continuous Integration environment.

Enterprise System Integration

CI/CD and Issue Tracking Systems

RiskNodes can integrate with platforms like GitHub Actions, GitLab CI, and Jira to automate AI code assessments, update risk profiles, and gate deployments.

Webhook-Based CI/CD Gate Example:

Configure a webhook with a CEL transformation expression to map RiskNodes event data to GitHub’s expected CI check format:

// CEL transform expression for updating a GitHub Commit Status
{
  'state': transition.to == 'approved' ? 'success' : 
           (scores.security < 50 ? 'failure' : 'pending'),
  'description': transition.to == 'approved' ? 'AI Review Passed' : 
                 'Human oversight required due to security flags',
  'context': 'RiskNodes AIRM Audit',
  'target_url': "https://risknodes.internal/audit/" + audit_id
}

This transformation runs within RiskNodes before the webhook is delivered, eliminating the need for intermediate processing scripts. The webhook endpoint receives data already formatted for your version control API.

Incident Response and Logging

Systems like PagerDuty or Splunk can be integrated to log policy violations, alert security teams to severe generation drift, and maintain immutable records of AI activity blocks.

Integration Patterns

Agentic Code Deployment Pipeline

flowchart TD
    A[AI Agent Commits Code] --> B[RiskNodes CI Hook Triggered]
    B --> C[Fetch Code Diff & Specs]
    C --> D[Local LLM Audit]
    D --> E[Responses Scored]
    E --> F[Webhook: Security Threshold Check]
    F --> G{Risk Level?}
    G -->|Low (Clean)| H[Auto-Merge & Deploy]
    G -->|Medium (Drift)| I[Senior Review Required]
    G -->|High (Vulnerability)| J[Block Build & Alert Sec]
    H --> K[Update Audit Ledger]
    I --> L[Assign to Principal Engineer]
    J --> M[Create Jira Sec Incident]
    K --> N[Close Pipeline]
    L --> O[Human Approval Given]
    M --> P[Agent Prompt Refinement]

Continuous AI Guardrail Verification

sequenceDiagram
    participant P as Pipeline (GitHub)
    participant Z as RiskNodes AIRM
    participant L as Local LLM Evaluator
    participant A as Audit System / Splunk
    
    P->>Z: Trigger PR Assessment
    Z->>L: Present Code & Security Questionnaire
    L->>Z: Return Structured Rationale & Verdicts
    Z->>Z: Apply Weights & Business Rules
    alt Checks Passed
        Z->>P: Webhook (Status: Success)
    else Policy Violation
        Z->>P: Webhook (Status: Blocked)
        Z->>A: Log Infringement Event
    end

Getting Started

Organizations typically begin by exploring the OpenAPI documentation, configuring webhooks for critical business processes, and implementing a pilot integration to validate the approach. After successful validation, additional systems can be connected to build comprehensive process automation.

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