1. Secure AI API Access Control with Akamai

    Python

    To secure an AI API with Akamai using Pulumi, we need to set up some Akamai resources to manage the security policy and apply it to the API's domain. For this, you'll configure Akamai's Application Security (AppSec) and set up an API endpoint with a security policy that controls access.

    Here's how you can do it with Pulumi and the Akamai provider:

    1. Akamai.Identity Management: Ensure your API users are authenticated and authorized to use the API.
    2. Akamai.Property: Configure a Property resource to represent your API in Akamai's system. A property in Akamai maps to your domain or subdomain and defines the rules and behaviors applied to requests.
    3. Akamai.AppSecSecurityPolicy: Define security rules and behaviors with an AppSec Security Policy to protect your AI API. These policies include details about access control, security features, and protection settings such as rate limiting and WAF configurations.
    4. Akamai.EdgeWorker: Optionally, you might want to use Akamai EdgeWorkers if you need to execute serverless functions at the edge for additional customization or processing of requests and responses.

    Below is a simplified example program that sets up an Akamai Property with associated security features to protect an AI API endpoint:

    import pulumi import pulumi_akamai as akamai # Step 1: IAM configuration (not covered in this example, but should be performed separately) # Step 2: Define an Akamai property for the AI API domain # In this step, you will create an Akamai property to represent your API in Akamai's system. # The property maps to your domain and specifies rules and behaviors for incoming requests. ai_api_property = akamai.Property("aiApiProperty", name="your-api.example.com", contract_id="your_contract_id", # Contract ID associated with your Akamai account group_id="your_group_id", # Group ID associated with your Akamai account product_id="prd_Fresca", # Product ID for the Akamai product you are using rule_format="latest", # The rule format version you want to use for your property hostnames=[{ # Define the hostname associated with this property "cnameFrom": "api.example.com", "cnameTo": "your-api.example.com.edgekey.net", }], rules="""{ "rules": [ { "name": "API Security", "behaviors": [ ... ], # Security behaviors such as access control, rate limiting, etc. "criteria": [ ... ], # Criteria for applying this rule "children": [ ... ] # Nested rules if needed }, # More rules as needed... ] }""" ) # Step 3: Create an application security policy # Now define the security policies by creating an AppSecSecurityPolicy resource. # This policy will include configurations for access control and other security measures for your API. security_policy = akamai.AppSecSecurityPolicy("securityPolicy", config_id=ai_api_property.id.apply(lambda id: id), # Link configuration ID to the AI API Property security_policy_name="AIAPISecurityPolicy", security_policy_prefix="AI-API" ) # Optionally, set up Akamai EdgeWorkers to execute serverless functions if additional # request/response processing or customization is needed. The details of implementing # EdgeWorkers logic will depend on your specific requirements. edge_worker = akamai.EdgeWorker("edgeWorker", name="AIEdgeWorker", group_id="your_group_id", # Group ID associated with your Akamai account resource_tier_id=1234 # Resource tier ID that corresponds to your resource requirements # Further configuration details for your EdgeWorker... ) # Exports: Output the URLs or other relevant information pulumi.export("ai_api_hostname", ai_api_property.name) pulumi.export("security_policy_id", security_policy.id)

    In the above program:

    • Replace your_contract_id, your_group_id, and prd_Fresca with the appropriate values for your Akamai account and product.
    • Replace api.example.com with your API's domain name.
    • The rules JSON string should contain the specific configurations for your property, including any security behaviors and criteria you wish to apply.
    • The AppSecSecurityPolicy object defines your security configurations and access control for the API.
    • Optionally, the EdgeWorker resource can be configured and used based on your requirements for additional processing at the edge.

    Remember, this is a simplified example to give you an idea of the setup process. In practice, you'll need to tailor the resource configurations to your specific security requirements. Always refer to the Akamai Pulumi provider documentation for detailed information about the available resources, properties, and options.


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