AWS IAM Permissions Guardrails https://aws-samples.github.io/aws-iam-permissions-guardrails/

A practical playground where developers can explore Auth0's features, learn best practices, and integrate Auth0 seamlessly into their applications

The rust based IAM backend

IAM Insights Reporting Dashboard — IAM Metrics

Javascript SDKs to integrate with WSO2 Identity Server

Dockerization of SailPoint IdentityIQ - A fast and convenient way to educate your-self or experience the new versions of the product before executing the production migration

Effortlessly capture and manage access tokens with Azure Device Code integration. Simplify authentication workflows in Python with TokenFlow's seamless and secure token handling. Ideal for developers seeking streamlined, scalable access token solutions.

Attacking and Defending AWS

This web application demonstrates Identity and Access Management principles.

Professional Profile Portfolio of Ronnie Bailey. Specialized in IAM and Cloud Security. Known for effectively managing security solutions, leading to significant improvements in system security.

A python script that interacts with the user to generate a more secure and personalized password.

A simple backend server that implements Identity and Access Management principles.

AWS Identity and Access Management (IAM) is a web service that lets you securely control access to AWS resources for users.

This repository contains infrastructure code for the Wizeline Data Engineering Bootcamp (DEB) 2023. It is one of two repositories for the DEB. The other (deb-application) houses the application code.

A simple authentication app that implements Identity and Access Management principles

Designed and implemented a secure, scalable web application infrastructure on Microsoft Azure. Deployed Docker containers running DVWA behind a load balancer for high availability, secured with Network Security Groups and a Jump Box. Automated deployment with Ansible, focusing on cloud security best practices.

An Identity Access Manager microservice

This project presents a dynamic, risk-based approach to identity security using risk-scoring algorithms for five real-time use cases. By applying zero-trust principles, sign-in logs are analyzed for anomalies, classifying users and devices as risky or safe. Results are displayed on a dashboard, enabling security admins to make informed decisions.