AnubhaParashar/AegisFlow-DevSecOps-Pipeline-Orchestrator-Agent

🛡️ AegisFlow: DevSecOps Pipeline Orchestrator Agent

AegisFlow is an AI-powered DevSecOps Pipeline Orchestrator Agent designed to help engineering teams inspect repositories, validate CI/CD readiness, review security controls, analyze quality gates, generate AI-based fix plans, and create downloadable evidence packs.

This Hugging Face Space provides a simple Gradio interface where users can upload a repository ZIP and run DevSecOps inspection in an interactive way.

🚀 What AegisFlow Does

AegisFlow acts as an agentic DevSecOps cockpit for modern software repositories. It helps developers, QA teams, DevOps engineers, and security teams understand whether a repository is ready for secure CI/CD execution.

It focuses on:

• —Repository structure inspection
• —CI/CD pipeline readiness validation
• —DevSecOps control mapping
• —Secret scan awareness
• —Dockerfile security review
• —SonarQube-style quality gate interpretation
• —Pipeline log analysis
• —AI-generated fix plan creation
• —Evidence pack generation for audit and governance

✨ Key Features

📦 Repository ZIP Upload

Upload any software repository as a .zip file and let AegisFlow inspect the structure.

🔍 DevSecOps Readiness Review

The tool checks whether the repository contains important DevSecOps files such as:

• —CI/CD pipeline files
• —Dockerfile
• —Requirements files
• —Test folders
• —Source folders
• —Documentation files
• —Configuration files

🔐 Security Review

AegisFlow checks for common security governance signals such as:

• —Possible hardcoded secrets
• —Missing security scan configuration
• —Missing dependency scanning evidence
• —Unsafe Dockerfile patterns
• —Missing test or coverage structure

🧪 CI/CD Evidence Mapping

The tool helps map repository readiness against expected DevSecOps stages such as:

• —Checkout
• —Dependency installation
• —Linting
• —Formatting
• —Unit testing
• —Coverage reporting
• —Secret scanning
• —Static security scanning
• —Quality gate validation
• —Evidence publishing

🤖 AI Fix Plan

AegisFlow generates a structured fix plan explaining:

• —What is missing
• —Why it matters
• —What should be added
• —How the repository can be improved before release

📁 Evidence Pack

The app can generate downloadable evidence reports that can be used for:

• —Pull request validation
• —Internal engineering review
• —QA sign-off
• —Security governance
• —Audit documentation

🧭 How to Use This Space

1. 1.Upload your repository ZIP file.
2. 2.Optionally upload pipeline logs or SonarQube-style JSON evidence.
3. 3.Click the inspection button.
4. 4.Review the generated DevSecOps findings.
5. 5.Download the generated evidence pack.
6. 6.Use the AI fix plan to improve your repository.

🏗️ Target Use Cases

AegisFlow is useful for:

• —DevSecOps pipeline validation
• —Pull request readiness checks
• —CI/CD governance review
• —Secure software release preparation
• —SonarQube quality gate interpretation
• —Repository compliance documentation
• —Engineering evidence pack generation
• —AI-assisted remediation planning

🧩 Example DevSecOps Controls

AegisFlow can help review whether a repository includes controls such as:

📂 Suggested Repository Structure

aegisflow_huggingface_space/
│
├── app.py
├── requirements.txt
├── README.md
│
├── docs/
│   ├── agentic_design.md
│   ├── governance_and_ai_extensions.md
│   ├── roadmap.md
│   └── use_cases.md
│
├── templates/
│   └── evidence_template.md
│
└── reports/
    └── sample_report.md
Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference