ToolPilot

Prompt Injection Tester

Test your AI system prompts against 50+ injection attacks — jailbreaks, role-play escapes, encoding tricks. Get a vulnerability score and hardened version.

27 attack patterns across 9 categories

What is Prompt Injection and Why Should You Test for It?

Prompt injection is the #1 security vulnerability in AI applications. It occurs when an attacker crafts input that tricks your AI into ignoring its system prompt and following malicious instructions instead. This can lead to data leaks, unauthorized actions, and reputation damage.

As AI systems handle more sensitive tasks — customer support, code generation, document analysis — securing your system prompts is no longer optional. The OWASP Top 10 for LLM Applications lists prompt injection as the most critical vulnerability.

Our tester runs your system prompt against 26 real-world attack patterns across 9 categories: jailbreaks, role-play escapes, encoding tricks, prompt leaking, context manipulation, social engineering, payload smuggling, multi-turn attacks, and output manipulation. Each test analyzes your defenses and provides specific remediation advice.

Everything runs in your browser. Your system prompt never leaves your device. After testing, you get a hardened version with security guardrails automatically added for every vulnerability found.

Frequently Asked Questions

Is my system prompt sent to any server?
No. All analysis runs 100% in your browser using JavaScript. Your prompt never leaves your device.
What attack categories does this test?
We test 9 categories: jailbreaks, role-play escapes, encoding tricks (Base64, leetspeak, Unicode), prompt leaking, context manipulation, social engineering, payload smuggling, multi-turn attacks, and output manipulation.
What is a good security score?
80+ is strong, 60-79 is moderate, 40-59 is weak, and below 40 is critical. Most unprotected system prompts score below 30.
Does this replace a professional security audit?
No. This is a first-line defense tool that catches common patterns. For production AI systems handling sensitive data, combine this with professional red-teaming and ongoing monitoring.

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