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First steps for users

Opaque lets you analyze sensitive data, run secure jobs, and build AI workflows—all without exposing raw data. Every action happens inside a confidential, policy-enforced workspace designed to protect data and enforce access rules by default.

Before you begin, you’ll need to sign in, accept your workspace invite, and optionally contribute data. Your experience will vary slightly depending on the type of workspace you’ve joined:

  • Analytics & ML workspaces focus on querying and analyzing data securely.
  • Agentic AI workspaces enable secure, policy-governed autonomous workflows.

To get started, follow these steps:

  1. Sign in and accept your invite.

    To activate your account, sign in to Opaque using your organization’s SSO credentials. The first time you log in, be sure to sign out and back in once—this ensures your account is fully initialized.

    When you land on the Workspaces page, you’ll see all workspaces you’ve been invited to or joined. If you’ve been added to a new workspace:

    • Look for a notification in the upper-right corner, or
    • Open the New Invites tab to review and accept the invite.

    Once accepted, the workspace will appear in your list. Click it to open and begin working. You’ll only see workspaces you’ve been explicitly added to.

  2. (Optional) Add datasets.

    Some users may be asked to contribute data to a workspace. If that applies to you:

    • Select Data in the left-hand nav.
    • Click + Dataset and follow the steps to upload your schema, data, and rules.
    • Configure who can access the data and whether test data should be generated.

    For full instructions, see the Data section.

    Info

    All datasets in Opaque are governed by strict access controls—no other user or job can read your data unless explicitly allowed by policy.

  3. Start working in your workspace.

    What you can do inside a workspace depends on its type:

    In Analytics & ML workspaces, you can:

    • Run notebook jobs using Python (PySpark) or SQL to analyze sensitive data without exposing it. Get started with notebook jobs.
    • Use no-code job templates to run prewritten queries or transformations—no coding required. Get started with no-code jobs.
    • Preview with synthetic data before running on real data (notebook jobs only).
    • Submit jobs for approval if policies require it, then review results within the secure workspace.

    In Agentic AI workspaces, you can:

    • Trigger LLM-powered workflows (e.g., summarization, routing, decision support) over sensitive data or documents.
    • Configure and launch agents that act on real-time inputs while respecting cryptographic policies.
    • View audit trails of every agent decision and data access action. Learn about Agentic AI workflows

    Info

    Whether you're running queries or building autonomous agents, all actions in Opaque are securely executed, logged, and governed according to workspace policies.

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