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AI Cloud Security Toolkit. Automated Scripts, compliance guardrails & best practices for securing AI workloads on Azure (Kubernetes, Docker, Cognitive Services). Includes GDPR/HIPAA-ready policies, non-technical guides, and zero-trust blueprints."

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SimardeepSingh-zsh/SecureAI-Ops

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SecureAI-Ops

Welcome to the SecureAI-Ops repository! This project aims to enhance the security of AI operations through a variety of tools and techniques. Whether you're a tech enthusiast, a cybersecurity professional, or someone curious about AI, this repository has something for you.

Introduction

SecureAI-Ops is a project designed to improve the security and reliability of AI systems. The goal is to provide a suite of tools and practices that can be easily integrated into AI workflows to ensure they are secure and efficient.

Features

Security Tools: A collection of tools to safeguard AI operations.

Best Practices: Guidelines and recommendations for secure AI development and deployment.

Automation Scripts: Scripts to automate common security tasks in AI workflows.

Documentation: Comprehensive documentation to help users understand and use the tools effectively.

Getting Started

To get started with SecureAI-Ops, follow these simple steps:

Clone the Repository: Download the repository to your local machine using the following command:

git clone https://github.com/SimardeepSingh-zsh/SecureAI-Ops.git

Install Dependencies: Navigate to the project directory and install the required dependencies:

cd SecureAI-Ops

Use the appropriate package manager to install dependencies

pip install -r requirements.txt

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AI Cloud Security Toolkit. Automated Scripts, compliance guardrails & best practices for securing AI workloads on Azure (Kubernetes, Docker, Cognitive Services). Includes GDPR/HIPAA-ready policies, non-technical guides, and zero-trust blueprints."

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