Smart SSH, HTTPS, MySQL and Postgres bastion/PAM that doesn't need additional client-side software

Zero Trust Service Access

JIT Groups is an open source application that lets you implement secure, self-service access management for Google Cloud using groups.

These API scripts enable CyberArk users to automate privileged account management task like account creation, user management, and more.

Docs and samples for privileged identity and access management in Microsoft Azure and Microsoft Entra.

Community project to classify, identify and protect your privileges based on Enterprise Access Model (EAM)

A Terraform provider for the Abbey Data Access Control Platform.

Bruno collections and environments for CyberArk Identity Security REST API testing and automation

A SecretManagement extension for CyberArk.

Enable-All-Tokens is a Go-based project designed to adjust and enable a list of specified privileges for the current process token on a Windows operating system. This project can be particularly useful for developers and system administrators who need to programmatically enable various system privileges for their applications.

Secret Server Jenkins Plugin

senhasegura Privileged Access Management Ansible Collection

Scripts that use the EPV API for automating account creation, user management, etc.

Azure Virtual Machine (VM) with Just-in-Time access

CyberArk PSM connector and CPM plugin for the Shopizer Administrator portal

A production-ready Model Context Protocol (MCP) server for CyberArk Privilege Cloud integration. Enables AI assistants and MCP clients to securely interact with privileged account management, safe operations, and platform configurations through 8 comprehensive tools.

Provide Azure Privileged Identity Manager admins a more concise summary of all upcoming eligible and assigned roles for users across all subscriptions in the environment

This repository contains a set of Polyglot Notebooks which can be used to bulk edit Microsoft Entra ID Privileged Identity Management role settings.

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.