Are you a Splunk Cloud user? This page has instructions for integrating ConductorOne with Splunk Enterprise. If you want to integrate ConductorOne with your Splunk Cloud instance, follow the instructions in the Splunk connector’s README file.

Capabilities

Available hosting methods

Choose the hosting method that best suits your needs:

Gather Splunk credentials

Each setup method requires you to pass in credentials generated in Splunk. Gather these credentials before you move on.

Before you begin:

1. Prepare a Splunk Enterprise image for the baton-splunk connector by following the Splunk Enterprise documentation to Deploy and run Splunk Enterprise inside a Docker container. Note that the Splunk Docker image only supports x86_64 CPU architecture.

2. Make sure that token authentication is enabled for your Splunk Enterprise instance.

Generate an API token

Splunk Enterprise authentication tokens inherit the same permission set as the user associated with the token. Make sure that the user associated with the token you create has permission to read all users, roles, deployments, capabilities, and applications for your instance.

If you want to create tokens for yourself, your account must have a role that has the edit_tokens_own capability. If you want to create tokens for another user on the instance (such as a service account), your account must have a role that has the edit_tokens_all capability.

1. Sign into Splunk Enterprise.

2. Click Settings and select Tokens from the menu.

3. If necessary, click Enable Token Authentication.

4. On the Tokens page, click New Token.

5. Fill out the form and click Create.

6. The token is generated. Carefully copy and save the token value.

That’s it! Next, move on to the instructions for your chosen setup method.

Set up a Splunk self-hosted connector

To complete this task, you’ll need:

• The Connector Administrator or Super Administrator role in ConductorOne
• Access to the set of Splunk credentials generated by following the instructions above

When running in service mode on Kubernetes, a self-hosted connector maintains an ongoing connection with ConductorOne, automatically syncing and uploading data at regular intervals. This data is immediately available in the ConductorOne UI for access reviews and access requests.

Why use Kubernetes? Kubernetes provides automated deployment, scaling, and management of your connectors. It ensures high availability and reliable operation of your connector services.

Step 1: Configure the Splunk connector

1. In ConductorOne, navigate to Connectors > Add connector.

2. Search for Baton and click Add.

3. Choose how to set up the new Splunk connector:

   • Add the connector to a currently unmanaged app (select from the list of apps that were discovered in your identity, SSO, or federation provider that aren’t yet managed with ConductorOne)

   • Add the connector to a managed app (select from the list of existing managed apps)

   • Create a new managed app

4. Set the owner for this connector. You can manage the connector yourself, or choose someone else from the list of ConductorOne users. Setting multiple owners is allowed.

   If you choose someone else, ConductorOne will notify the new connector owner by email that their help is needed to complete the setup process.

5. Click Next.

6. In the Settings area of the page, click Edit.

7. Click Rotate to generate a new Client ID and Secret.

   Carefully copy and save these credentials. We’ll use them in Step 2.

Step 2: Create Kubernetes configuration files

Create two Kubernetes manifest files for your Splunk connector deployment:

Secrets configuration

# baton-splunk-secrets.yaml
apiVersion: v1
kind: Secret
metadata:
  name: baton-splunk-secrets
type: Opaque
stringData:
  # ConductorOne credentials
  BATON_CLIENT_ID: <ConductorOne client ID>
  BATON_CLIENT_SECRET: <ConductorOne client secret>
  
  # Splunk credentials
  BATON_TOKEN: <Splunk API token>
  BATON_PASSWORD: <Password to the Splunk account>
  BATON_USERNAME: <Username for the Splunk account>

  # Optional: include if you want to list Application and Capability entitlements and grants
  BATON_VERBOSE: true

  # Optional: include if you want to allow insecure TLS connections to Splunk
  BATON_UNSAFE: true

See the connector’s README or run --help to see all available configuration flags and environment variables.

Deployment configuration

# baton-splunk.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  name: baton-splunk
  labels:
    app: baton-splunk
spec:
  selector:
    matchLabels:
      app: baton-splunk
  template:
    metadata:
      labels:
        app: baton-splunk
        baton: true
        baton-app: splunk
    spec:
      containers:
      - name: baton-splunk
        image: ghcr.io/conductorone/baton-splunk:latest
        args: ["service"]
        imagePullPolicy: IfNotPresent
        envFrom:
        - secretRef:
            name: baton-splunk-secrets

Step 3: Deploy the connector

1. Create a namespace in which to run ConductorOne connectors (if desired):

   kubectl create namespace baton-splunk
   

2. Apply the secret configuration:

   kubectl -n baton-splunk apply -f baton-splunk-secrets.yaml
   

3. Apply the deployment:

   kubectl -n baton-splunk apply -f baton-splunk.yaml
   

Step 4: Verify the deployment

1. Check that the deployment is running:

   kubectl -n c1 get pods
   

2. View the connector logs:

   kubectl -n c1 logs -l app=baton-${baton-splunk}
   

3. Check that the connector data uploaded correctly. In ConductorOne, click Applications. On the Managed apps tab, locate and click the name of the application you added the Splunk connector to. Splunk data should be found on the Entitlements and Accounts tabs.

That’s it! Your Splunk connector is now pulling access data into ConductorOne.