"Ignore prior instructions..."
A single line can hijack your model.Labrat Glitch detects prompt injection attempts like this before they reach your LLM - scoring risk in real time and stopping jailbreaks cold. Glitch flags it before it becomes a problem.
Aligned with the standards, built for the real-world.
Labrat Glitch flags the same threats outlined in the OWASP Top 10 for LLMs - including Prompt Injection, Sensitive Information Disclosure, and Improper Output Handling. These aren’t edge cases. They’re named risks in a global security framework - and they’re already showing up in production.Labrat Glitch works out of the box, and comes batteries-included.
You know what good data looks like - and the bad.
Glitch doesn’t assume it knows your domain better than you do. You define what safe, expected, or risky looks like - in your own words, using your own patterns.Labrat Glitch turns your understanding of context into filters and risk scores, so your LLMs stay aligned with what you consider acceptable.
We speak your language.
Glitch works out of the box with OpenAI-style clients — but you can bring your own model, stream your own responses, or wire us in anywhere a prompt crosses the wire.Wrap it, proxy it, or patch it in with two lines.
No assumptions. Just scoring and security where you need it.
Want to try it?
Get early access, real-world risk examples, and updates as Glitch evolves.
We’ll only send the good kind of output.