BreachSim

BreachSim: AI security validation before code reaches production. BreachSim is a developer-focused hackathon project that helps teams find and understand security risks before code is merged or deployed. Modern teams ship software continuously, but security reviews often happen too late. BreachSim brings security feedback closer to the developer workflow. Using OpenAI codex and Gpt5.6 , BreachSim analyzes repository or pull request code, detects potential security issues, explains each finding in clear developer language, and suggests safer remediation steps. Instead of only showing an alert, the system helps answer: what is wrong, why it matters, where it happens, and how it can be fixed. Unlike traditional tools such as SonarQube, Snyk, or dependency scanners that mainly focus on detection, code quality, or known vulnerabilities, BreachSim focuses on the full developer feedback loop: detect, explain, suggest remediation, support verification, and generate a clear report. It is not meant to replace these tools, but to show how OpenAI Tools can make security findings more actionable and easier for developers to resolve. For the OpenAI Build Hackathon, BreachSim demonstrates a supervised AI security validation flow: scan code, prioritize findings, review evidence, generate remediation guidance, and produce a concise security report. The project is designed to support developers without automatically modifying code or running unsafe actions. The goal is to make security validation feel more like continuous integration: fast, understandable, and available before vulnerable code reaches production.

Built With

• amazon-cloudfront-cdn
• amazon-web-services
• codebuild
• codex
• gpt5.6
• lambda
• python
• s3
• sam