governance
    New
    2026-04-25

    Getting Started

    From sandbox signup to your first compliance evaluation in 15 minutes. Covers login, model registration, running a compliance eval, and verifying the audit chain.

    getting-started
    quickstart
    compliance
    model-registry
    sandbox

    Step 1 — Provision a Sandbox

    Go to app.aegissovereign.io and sign up with your work email. Your sandbox is provisioned in under 30 seconds with 5 pre-configured demo models, compliance evaluations already run, 200+ audit events, and a live LLM gateway. No credit card required.

    Sandbox workspace
    Your provisioned sandbox — pre-seeded models, KPIs, and system health, ready to explore immediately.
    Workspace
    Dashboard tab.
    Workspace
    Overview tab.
    Workspace
    New Experiment dialog (opens when you click the button).
    Workspace
    Detail panel (opens when you click a row).

    Step 2 — Register Your First Model

    Navigate to Model Registry → Register Model. Fill in the model name, version, framework (scikit-learn, PyTorch, TensorFlow, etc.), task type, and training dataset reference. The platform assigns status registered and triggers the CompliancePipelineAgent automatically.

    bash
    1curl -X POST https://sovereign.yourcompany.com/api/v1/registry/models \
    2  -H "Authorization: Bearer $API_KEY" \
    3  -H "Content-Type: application/json" \
    4  -d '{
    5    "name": "fraud-detector-v1",
    6    "version": "1.0.0",
    7    "framework": "scikit-learn",
    8    "workspace_id": "ws-prod",
    9    "task_type": "classification",
    10    "metadata": { "training_dataset": "transactions-2024-q4", "accuracy": 0.943 }
    11  }'
    12# → { "id": "model-7f3a", "status": "registered" }

    Step 3 — Run a Compliance Evaluation

    Navigate to Compliance → Run Evaluation. Select your model and the regulatory framework for your jurisdiction (EU AI Act for EU, SR 11-7 for US banks, MAS TRMG for Singapore). The evaluation completes in under 5 minutes and produces a scored report with findings and a signed compliance artifact.

    typescript
    1import { AegisSovereignClient } from "@aegissovereign/sdk";
    2
    3const client = new AegisSovereignClient({
    4  baseUrl: "https://sovereign.yourcompany.com",
    5  apiKey: process.env.AEGISSOVEREIGN_API_KEY!,
    6  workspaceId: "ws-prod",
    7});
    8
    9const result = await client.regulatory.evaluate("fraud-detector-v1", "eu_ai_act");
    10console.log(result.passed);    // true / false
    11console.log(result.score);     // 0.83
    12console.log(result.findings);  // [{control, severity, recommendation}]

    Step 4 — Verify the Audit Chain

    Every action — model registration, evaluation, promotion — produces an audit entry cryptographically chained to the previous one. Navigate to Audit Log → Verify Chain to confirm chain integrity. The chain can also be verified via the API at any time for regulatory submissions.

    bash
    curl -X POST https://sovereign.yourcompany.com/api/v1/audit/verify/latest \
      -H "Authorization: Bearer $API_KEY"
    # → { "chain_valid": true, "entries_verified": 247 }

    Next Steps

    Now that your first model is registered and evaluated, explore the rest of the platform.

    FeatureWhere to find itDoc
    Champion/challenger A/B splitModel Registry → A/B Split`model-registry`
    LLM Gateway + data classificationLLM Gateway → Route Simulator`llm-gateway`
    Real-time drift monitoringMonitoring → Drift Dashboard`drift-detection`
    GitOps policy bundlesPolicy Center → Bundles`gitops-policy`
    MCP Server for Claude CodeSettings → MCP Server`mcp-server`
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