LLM Code Generation for Policy-Compliant Cloud Infrastructure
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Solution Overview
Problem
Existing security policies for cloud infrastructure are primarily designed for human consumption and lack automated enforcement, leading to potential gaps and vulnerabilities, and manual updates are time-consuming and error-prone.
Innovation Solution
A system and method using a Large Language Model (LLM) to generate secure infrastructure code by integrating security policies as embeddings and schemas, ensuring compliance through an automated process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual processes are used to update security policies and code, then developers can maintain security policies, but the process is time-consuming and error-prone
Solution Approach 1:
The system enables self-service through automated code generation. The code generator automatically produces infrastructure code that complies with security policies without requiring manual intervention from developers to write or update the code themselves.
Solution Approach 2:
The system performs preliminary action by pre-defining security policies and using them to automatically generate compliant code before deployment. This ensures security requirements are built into the infrastructure code from the start rather than requiring post-hoc updates.
2Ease of operation
If textual security policies are used for human consumption, then policies are readable, but they fail to provide automated enforcement and lead to gaps and vulnerabilities
Solution Approach 1:
The code generator acts as an intermediary that translates human-readable security policies into machine-executable infrastructure code. This intermediary component enables automated enforcement by converting textual policies into actionable code that can be directly applied to cloud infrastructure.
Solution Approach 2:
The system changes the parameter of security policies from purely textual format to a combination of textual policies and generated code. This transformation maintains readability while adding automated enforcement capability through the generated infrastructure code.
3Adaptability or versatility
If developers manually update security policies and code to keep pace with software updates, then security compliance can be maintained, but the manual process is both time consuming and error prone
Solution Approach 1:
The system enables self-service through automated code generation. The code generator automatically produces infrastructure code that complies with security policies without requiring manual intervention from developers to write or update the code themselves.
Solution Approach 2:
The system implements feedback by continuously monitoring security policies and automatically regenerating code when policies or infrastructure requirements change. This feedback loop ensures code remains compliant without manual intervention, enabling rapid adaptation to updates.
Data Source
AI summary
Embodiments of the present disclosure include techniques for generating code. Input code is received from a user. The code may not be conforming to a particular policy. The input code may be used to retrieve corresponding policies relevant for the code. In some embodiments, the input code may have a particular version, and a schema corresponding to the code version may be retrieved. The input code, policy, and schema may be input to a large language model to generate modified code conforming to the policy and the schema, for example.