Official Distribution Hub

Get PromptGuard for Windows

Download PromptGuard to deploy an adaptive pre-execution security layer in front of your AI applications. Choose the native Windows desktop bundle or run from the GitHub source repository.

Windows 10 / 11 (64-bit)v1.0.0-rc

PromptGuard for Windows

Standalone installer bundles the Python FastAPI backend, 6-layer detection pipeline, and browser dashboard into an automated Windows executable.

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Setup Instructions

Installation Guide for Windows

Follow these simple steps to install and start running PromptGuard on your Windows 10 or Windows 11 workstation:

01

Download PromptGuard Installer

Download PromptGuard-Setup-x64.exe from the verified GitHub release card below.

02

Run the Executable

Double-click the installer executable to start the self-contained Inno Setup wizard.

03

Follow Setup Preferences

Choose your destination installation directory and optionally create a desktop shortcut.

04

Launch PromptGuard

Start PromptGuard from the Start Menu or desktop shortcut to launch local services.

05

Open Dashboard

PromptGuard launches the local security console automatically in your default browser.

06

Select LLM Provider

Use the built-in zero-configuration Local Simulator, or connect OpenAI, Gemini, or Anthropic.

07

Inspect & Guard Prompts

Submit prompts for 6-layer real-time inspection, view adaptive risk scores, and audit telemetry.

Cryptographic Integrity Verification (PowerShell)Algorithm: SHA-256
Get-FileHash .\PromptGuard-Setup-x64.exe -Algorithm SHA256
Verify that the resulting hash matches the SHA-256 digest listed in the release card above before executing on sensitive environments.
For Engineers & Contributors

Developer Installation Guide

Prefer running PromptGuard from the source repository? Follow the instructions below to configure the Python backend, seed the local SQLite database, and launch the Next.js UI locally:

# 1. Clone the repository

git clone https://github.com/ssomendra/Adaptive-Prompt-Injection-Detection-for-LLM-Applications.git

cd Adaptive-Prompt-Injection-Detection-for-LLM-Applications

# 2. Setup and run Python 3.10+ Backend

cd backend

python -m venv .venv

.venv\Scripts\activate

pip install -r requirements.txt

uvicorn app.main:app --reload --host 127.0.0.1 --port 8000

# 3. Setup and run Next.js Frontend

cd ../frontend

npm install

npm run dev

# UI is now running locally at http://localhost:3000