LLM Honeypot

The LLM Honeypot is a security tool designed to protect Large Language Models from malicious attacks. As companies use AI assistants more often, hackers are trying to trick these systems into revealing secrets or breaking rules. This tool acts as a fake AI assistant that traps bad actors trying to exploit the system.

Benefits

The main advantage of this tool is that it stops attackers before they cause real damage. It works by pretending to be a helpful assistant while actually watching for dangerous requests. When a hacker tries to inject bad prompts or steal data, the system recognizes the attack immediately. Instead of letting the attack succeed, it sends fake secret information to waste the attacker's time. This gives security teams valuable data about who is trying to break in and how they are doing it. The tool is built to be fast and easy to use, making it a practical choice for protecting sensitive AI systems.

Use Cases

Organizations can use this tool to test their defenses against AI attacks. It is useful for companies that want to know if their current security measures are working. Security teams can deploy the tool to monitor their networks for suspicious activity related to AI systems. Researchers can use it to study how hackers try to bypass safety filters. It is also helpful for businesses that are just starting to use AI and need to understand the risks involved. The tool can be set up quickly using standard programming methods.

Pricing

Pricing information is not available for this project.

Vibes

Public reviews or testimonials are not available for this project.

Additional Information

The project is open source and hosted on GitHub. It was created by a developer named romiisromie. The software uses FastAPI to run the web service and DistilBERT for detecting malicious intent. This combination makes the tool lightweight and efficient. The code is available for anyone to download and study.