Serverless Identity Verification: Integrating Didit

In today’s rapidly evolving digital landscape, robust and scalable identity verification is crucial. Combining this need with the benefits of serverless architecture – cost efficiency, automatic scaling, and reduced operational overhead – is a powerful combination. This guide outlines how to integrate Didit’s all-in-one identity platform with serverless functions, specifically AWS Lambda, to build a highly scalable and secure identity verification system.

Key Takeaway 1: Serverless functions like AWS Lambda are ideal for integrating with identity verification services due to their pay-per-use model and automatic scaling.

Key Takeaway 2: Didit's API-first approach makes integration with serverless architectures straightforward and efficient.

Key Takeaway 3: Careful consideration of API rate limits and error handling is essential for a resilient serverless identity verification implementation.

Key Takeaway 4: Utilizing environment variables for API keys and configurations enhances security within your serverless environment.

Why Serverless for Identity Verification?

Traditional identity verification systems often involve maintaining dedicated servers, managing infrastructure, and handling scaling manually. This can be resource-intensive and expensive. Serverless computing, exemplified by AWS Lambda, offers a compelling alternative. With serverless, you only pay for the compute time you consume. This pay-per-use model is particularly well-suited for identity verification, where usage can be sporadic and unpredictable. Furthermore, serverless functions automatically scale to handle fluctuating demand, ensuring a seamless user experience even during peak periods. This is especially important for applications experiencing significant growth or seasonal traffic.

Architecture Overview

A typical serverless identity verification architecture using Didit involves the following components:

• Client Application: Initiates the identity verification process (e.g., a web or mobile app).
• API Gateway: Receives requests from the client application and routes them to the appropriate Lambda function.
• AWS Lambda Function: Executes the identity verification logic by calling the Didit API.
• Didit API: Provides access to Didit’s identity verification services (ID verification, liveness detection, AML screening, etc.).
• Database (Optional): Stores verification results and user data (e.g., DynamoDB).

The client application sends a request to the API Gateway, which triggers the Lambda function. The Lambda function then calls the Didit API to perform the desired identity verification checks. The results are either returned directly to the client application or stored in a database for future reference.

Integrating Didit with AWS Lambda: A Code Example

Here’s a simplified example of a Python Lambda function that integrates with the Didit API for ID verification:

import json
import os
import requests

# Retrieve Didit API key from environment variable
DIDIT_API_KEY = os.environ.get('DIDIT_API_KEY')

def lambda_handler(event, context):
  try:
    # Extract data from the event
    document_image = event['document_image']
    document_type = event['document_type']
    country_code = event['country_code']

    # Construct the Didit API request
    url = 'https://api.didit.me/v1/id-verification'
    headers = {
      'Authorization': f'Bearer {DIDIT_API_KEY}',
      'Content-Type': 'application/json'
    }
    data = {
      'document_image': document_image,
      'document_type': document_type,
      'country_code': country_code
    }

    # Make the API request
    response = requests.post(url, headers=headers, json=data)
    response.raise_for_status()  # Raise HTTPError for bad responses (4xx or 5xx)

    # Parse the response
    result = response.json()

    return {
      'statusCode': 200,
      'body': json.dumps(result)
    }

  except requests.exceptions.RequestException as e:
    print(f'Error making API request: {e}')
    return {
      'statusCode': 500,
      'body': json.dumps({'error': 'Failed to verify identity'}) 
    }
  except Exception as e:
    print(f'An unexpected error occurred: {e}')
    return {
      'statusCode': 500,
      'body': json.dumps({'error': 'Internal server error'}) 
    }

Important Considerations:

• API Key Management: Store your Didit API key securely using environment variables. Never hardcode API keys directly into your code.
• Error Handling: Implement robust error handling to gracefully handle API errors and unexpected exceptions.
• Rate Limiting: Be mindful of Didit’s API rate limits and implement appropriate retry mechanisms.
• Data Validation: Validate input data to prevent errors and security vulnerabilities.

Scalability and Performance Optimization

Serverless architectures are inherently scalable, but there are still steps you can take to optimize performance:

• Concurrency: Configure the appropriate concurrency settings for your Lambda function to handle peak loads.
• Code Optimization: Write efficient code and minimize dependencies to reduce execution time.
• Caching: Cache frequently accessed data to reduce API calls to Didit.
• Asynchronous Processing: Use asynchronous processing for tasks that don't require immediate responses.

How Didit Helps

Didit simplifies serverless identity verification through:

• API-First Design: A comprehensive and well-documented REST API for seamless integration.
• Modular Architecture: Choose only the verification modules you need (ID verification, liveness detection, AML screening, etc.).
• Global Coverage: Support for 14,000+ document types across 220+ countries.
• Scalability: Designed to handle high volumes of verification requests.
• Security: SOC 2 Type II and ISO 27001 certified, GDPR compliant.

Ready to Get Started?

Integrating Didit with serverless functions like AWS Lambda is a powerful way to build scalable, secure, and cost-effective identity verification systems.

Resources:

• Didit Pricing
• Didit Technical Documentation
• AWS Lambda