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Published: Oct 30, 2024 License: Apache-2.0

README

Aegis Compliance Engine

Overview

The Aegis Compliance Engine is a robust, scalable, and secure compliance management system designed to ensure organizational adherence to regulatory standards. It leverages advanced technologies such as Kubernetes, Dapr, Traefik, Keycloak, and AI-driven models to deliver comprehensive compliance solutions.

Features

  • Security-First Architecture: Implements zero-trust principles and quantum-safe cryptography to protect against evolving threats.
  • Scalable Microservices: Built on Kubernetes, enabling seamless scaling and resilience.
  • AI Integration: Utilizes AI for dynamic policy management, threat detection, and compliance monitoring.
  • Comprehensive User Lifecycle Management: Automates onboarding, offboarding, retention, and retirement processes.
  • Quantum Readiness: Prepares the system for advancements in quantum computing with compatible cryptographic methods.
  • Robust Monitoring and Observability: Employs Prometheus, Grafana, and ELK Stack for real-time system insights.
  • Automated CI/CD Pipelines: Streamlines development and deployment using Dagger Go SDK and GitHub Actions.
  • Immutable Logging with Blockchain: Ensures accountability and transparency through decentralized logs.

Architecture

The Aegis Compliance Engine is structured into multiple layers to ensure modularity, scalability, and maintainability.

  • Client Core: User interfaces including web, CLI, and mobile applications with RBAC and multi-tenancy support.
  • Request Layer: API Gateway (Traefik) managing routing, load balancing, and protocol translation.
  • Service Layer: Core business logic, AI models, and adapters for external integrations.
  • Storage Layer: Secure data persistence using SQL, NoSQL, and object storage solutions.
  • Security & Telemetry: Robust security measures and telemetry for monitoring.
  • Compliance & Telemetry: Real-time auditing and blockchain trails for compliance.
  • AI Models & Quantum Integration: Advanced AI functionalities and quantum safety.
  • Infrastructure & Deployment: Managed using Kubernetes, Docker, Helm, and Dapr.
  • User Lifecycle Management: Comprehensive processes for managing user interactions.
  • CI/CD Pipeline: Automated build, test, and deployment workflows.
  • Monitoring and Observability: Tools for performance tracking and issue resolution.
  • Scalability and Reliability: Ensures high availability and efficient resource utilization.

Getting Started

Prerequisites
  • Kubernetes cluster
  • Docker
  • Helm
  • Dapr CLI
  • Keycloak instance
Installation
  1. Clone the Repository

    git clone https://github.com/MChorfa/ace.git
    cd ace
    
  2. Deploy with Helm

    helm install ace ./helm-chart
    
  3. Configure Dapr

    dapr init
    dapr install components
    
Usage
  • Access the web interface at https://your-domain.com
  • Use CLI for advanced operations
  • Integrate with mobile applications for on-the-go compliance management

Contributing

Contributions are welcome! Please follow the contribution guidelines to get started.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Directories

Path Synopsis
cmd
pkg
app
tools

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