1. AI Workload Identity Management via Vault


    To manage AI workload identity using HashiCorp Vault in a Pulumi Python program, we'll be using a combination of resources provided by the pulumi_vault provider. Vault is a tool for secrets management, encryption as a service, and privileged access management and is commonly used for managing sensitive data like API keys, passwords, certificates, etc.

    Here's how to approach workload identity management in a system using Vault:

    1. Set up a Vault Server: We need a running instance of Vault, which is beyond the scope of this specific program. Presuming that you have Vault already running and accessible.

    2. Configure Vault's Auth Methods: We'll configure Vault to authenticate using a specific cloud provider's method. For example, using AWS, we can enable AWS authentication.

    3. Set up Roles: Vault roles are mapped to cloud identities and define a set of permissions within Vault.

    4. Generate credentials: Applications or services can authenticate with Vault using their cloud identity and receive credentials with the permissions defined by their role.

    Let's create a Pulumi program to configure an AWS authentication method in Vault, create a role associated with an AWS identity (like an EC2 instance role or IAM user), and then, if necessary, secure the management of identity tokens.

    import pulumi import pulumi_vault as vault # Create an AWS authentication method backend in Vault aws_auth_backend = vault.aws.AuthBackend("aws-auth-backend", description="AWS auth backend") # Define a Vault policy that outlines the permissions granted by roles associated with this backend my_vault_policy = vault.Policy("my-vault-policy", policy=pulumi.FileAsset("policy.hcl")) # The policy should be defined in HCL format in a policy.hcl file. # Create a role associated with AWS authentication # Specify the bound IAM roles the EC2 instances must have and the policies from Vault it would get # The names under 'role' are examples and should be replaced with the actual IAM role names aws_auth_role = vault.aws.AuthBackendRole("my-aws-auth-role", backend=aws_auth_backend.name, role="role-name", auth_type="iam", bound_iam_principal_arn=["arn:aws:iam::123456789012:role/my-role"], # Change this with the actual ARN of the IAM Role token_policies=[my_vault_policy.name]) # Optionally, create an OIDC provider if you want to manage identity tokens using Vault's OIDC provider vault_oidc_provider = vault.identity.OidcProvider("my-oidc-provider", allowed_client_ids=["my-client-id"], scopes_supported=["openid", "profile", "email"], issuer_host="my-issuer-host") # pulumi.export is used to output values that can be saved or sent to another program pulumi.export("aws_auth_backend_path", aws_auth_backend.path) # Now you would proceed with integrating this auth method in your AI workloads # so they authenticate to Vault using their AWS identity and retrieve the secrets they are allowed to access.

    In this program:

    • We set up an AWS authentication method within Vault using vault.aws.AuthBackend. This backend allows entities in AWS to authenticate with Vault.
    • We define a Vault role using vault.aws.AuthBackendRole. This role specifies the AWS ARNs that are allowed to authenticate and the policies that will apply to the resulting Vault tokens.
    • Optionally, we create an OIDC provider using vault.identity.OidcProvider. This OIDC provider would typically be used to issue identity tokens for services that can then be presented to other services to verify their identity.

    Before running this code, you would need to:

    • Have access to a Vault server and be authenticated to perform administrative actions.
    • Store the Vault policy definitions in a file (in this example, it's named policy.hcl).
    • Customize the ARNs and identifiers to match your AWS resources.
    • Ensure that the Vault Python SDK (pulumi_vault) is installed in your environment.

    Make sure to replace placeholders like arn:aws:iam::123456789012:role/my-role and my-issuer-host with your actual resource identifiers. The Vault policy (my-vault-policy) should be defined according to your organizational security requirements. The file policy.hcl should contain the policy in HCL format that delineates the interactions allowed with Vault's secrets, like read, write operations.

    Keep in mind that secure and tested setup of Vault can be complex, often involving additional components such as secure storage backends, detailed policies, and auditing features. This program assumes you have secure access to a Vault server and high privileges within Vault to create these resources.