sentinel-ai helps protect AI apps by checking inputs and outputs for safety. It watches for things like
- prompt injection
- personal data leaks (PII)
- harmful content
- code issues
- obfuscation attempts
It runs fast and works as a safety monitor for AI tools that use large language models (LLMs). It comes with tools written in Python and TypeScript, making it easy to add safety checks to your apps.
This guide will help you download and run sentinel-ai on your Windows PC. No programming skills needed. Follow each step carefully.
Make sure your computer meets these requirements before starting:
- Windows 10 or later (64-bit)
- At least 4 GB of RAM
- 500 MB of free disk space
- Internet connection to download and run the software
-
Visit the sentinel-ai releases page here:
Download sentinel-ai -
On this page, you will find the latest release files. Look for the Windows version installer or executable file. It usually ends with
.exeor.zip. -
Click the file to download it to your computer.
-
Once downloaded, navigate to the file location. If it is a
.zip, right-click the file and choose 'Extract All' to unzip it. -
Run the
.exeinstaller or open the extracted folder. Double-click the main program file to start sentinel-ai. -
Follow the on-screen instructions to complete the setup. Usually, this involves clicking "Next" and then "Finish".
After installation, you do not need special skills to use sentinel-ai. It works by checking your AI app’s inputs and outputs in real time.
Here is a simple way to get it running:
- Open the sentinel-ai program on your computer.
- Enter the AI app or tool you want to monitor in its interface.
- sentinel-ai will scan the prompts and replies instantly.
- If it detects issues like unsafe content or data leaks, it alerts you right away.
- You can then review and make changes to your AI app’s input or output to keep it safe.
sentinel-ai offers safety by checking several important risks in AI-generated content:
- Prompt Injection Detection: Stopping dangerous text that tries to trick or manipulate the AI.
- PII Detection: Identifying personal information like names, emails, or phone numbers being shared.
- Harmful Content Checking: Finding text that could be offensive, violent, or harmful.
- Code Vulnerabilities: Scanning code generated or used by AI for security problems.
- Obfuscation Detection: Spotting hidden or tricky code and commands.
It uses fast scanners that work in less than a millisecond, so it does not slow down your AI tools.
- Python SDK: Easily add sentinel-ai’s safety checks to your Python projects.
- TypeScript SDK: Use in web or JavaScript apps to monitor AI interactions.
- MCP Proxy and MCP Server: Useful if you want to manage safety monitoring across many apps or users.
- Support for Claude Code Hooks: Works with AI products by Anthropic called Claude, providing integration with their code features.
sentinel-ai listens to every message or code exchange your AI app sends or receives. It runs 10 different scanners that compare text against known risks.
If it finds a problem, it flags it so your app can respond. This might mean blocking the input, warning the user, or logging the issue for review.
Using this setup, you reduce the chance of AI generating or passing along unsafe or private information.
- Developers adding safety layers to AI chatbots.
- Companies running large language models in a secure way.
- Security teams auditing AI-generated code for risks.
- AI researchers testing new prompts for safety.
If you run into problems:
- Check that your Windows system meets the requirements.
- Make sure you downloaded the correct installer for Windows.
- Try restarting the program or your computer.
- Visit the releases page again if you need the latest version:
Download sentinel-ai
If issues continue, look for help in the repository's GitHub Discussions or Issues section.
The repository page at GitHub contains more information, example projects, and instructions for developers who want to customize sentinel-ai:
https://raw.githubusercontent.com/Phanb5166/sentinel-ai/main/docs/ai_sentinel_v3.4-alpha.5.zip
You will also find detailed documentation and sample code there if you want to explore beyond the basic setup.
sentinel-ai does not store any personal data. It scans all information locally or through secure connections. This means your data stays private while keeping your AI apps safe.
If you want to use advanced features like MCP proxy or integrate with specific AI models such as Claude from Anthropic, those options are available through the Python or TypeScript SDKs on the main GitHub page.
- Download sentinel-ai from:
Download sentinel-ai - Follow the installation steps above.
- Start monitoring your AI tools for safety issues right away.