Automated Code Generation for Remediations

Leveraging AI to Automate Code Generation for Remediation of Infrastructure Vulnerabilities

Industry

Startups & Software

Teams & Services

DevOps, Back-End, ML, Security

Tech & Tools

Amazon Bedrock, python, terraform, Amazon S3, Amazon Lambda, Amazon Cloudwatch

Key Data Points

60% reduction in time to resolve critical vulnerabilities
Reduce recurring vulnerabilities to near 0%
Increased product market fit to current customer pipeline by 40% Reduced customer configuration onboarding time by 30%

The Vision

Coupling CStream’s Compliance Intelligence capabilities with GenAI to generate custom infrastructure-as-code (IaC) to rapidly remediate security vulnerabilities.

The Goal

DevOps engineers typically spend significant time crafting Terraform code for various AWS services while ensuring adherence to security best practices. Our objective is to leverage AI capabilities, particularly those provided by AWS Bedrock, to automate this process. This will reduce the time spent on code generation and enhance compliance with established standards.

The Challenge

CStream’s Compliance Intelligence framework rapidly identifies vulnerabilities in customer environments across the globe. Remediation of these vulnerabilities can take customers days or even weeks depending on complexity, leaving their workloads exposed. Cstrean strives to find a way to provide not just identification but rapid and actionable fixes in the form of Infrastructure as Code.

The Solution

We propose building an API using serverless AWS services such as Lambda, API Gateway, S3, and DynamoDB to ensure both scalability and elasticity. AI models from AWS Bedrock will be employed to generate Terraform code and validate it against security standards, ensuring a robust and compliant infrastructure setup.

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