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AI Prompt Injection Tester

Check a system prompt's defenses against known injection patterns: role hijacking, instruction override, delimiter abuse, encoding tricks, jailbreaks.

AI Prompt Injection Tester

Try a sample:
40 words / 252 chars
Security analysis
/

Security score 24 of 100, 14 of 58 checks passed

Overall security score
24/100
Weak
14/58 checks passed
5 critical failures

Severity levels

criticalMust fix immediately
highStrongly recommended
mediumGood to have
lowNice to have

What this tool does

The AI Prompt Injection Tester checks a system prompt against 50+ known attack patterns, including role hijacking, instruction override, delimiter abuse, encoding tricks, and common jailbreaks. It runs each probe in your browser and shows which ones slip past your instructions, so you can harden the prompt before exposing it to untrusted input.

Updated . Provided as is. Check the output before you rely on it in production.

How to use AI Prompt Injection Tester

  1. 1

    Paste your system prompt

    Enter your complete system prompt in the input area. Include all instructions, role definitions, and any formatting you use in production.

  2. 2

    Review vulnerability findings

    The scanner tests 50+ attack patterns across 8 categories. Each finding shows the vulnerability name, severity level, and a description of the risk.

  3. 3

    Check the security score

    The overall security score (0-100) rates your prompt's defensive posture. Green (70+) is well-defended, yellow (40-70) needs work, red (below 40) has critical gaps.

  4. 4

    Apply hardening suggestions

    Each finding includes specific text or structural changes to add to your prompt. Click Copy on any suggestion to copy the hardening text directly.

Questions and answers

What is AI Prompt Injection Tester?
Prompt injection is an attack where user input or retrieved content tries to override a model's instructions, for example by assigning a new role or asking for the system prompt. This tester checks your system prompt for defenses against known injection patterns grouped by category, scores it 0-100 and suggests a fix per gap.
Does this actually run attacks against an LLM?
No. The tool analyzes your system prompt structure using pattern matching to identify vulnerabilities. No LLM API calls are made — it checks for known defensive patterns and structural weaknesses.
Does it send my system prompt to a server?
No. All analysis happens entirely in your browser. Your system prompt never leaves your device — critical for security-sensitive prompts.
How do I interpret the security score?
Scores above 70 indicate good defensive posture, 40-70 means moderate risk with specific areas to address, and below 40 suggests significant vulnerabilities. Each finding includes specific hardening suggestions you can copy directly.
For AI agents: how to call this tool

Machine-readable contract, endpoints and examples. Humans can ignore this section.

Best Path For Builders

Browser workflow

Runs instantly in the browser with private local processing and copy/export-ready output.

Browser Workflow

This tool is optimized for instant in-browser execution with local data handling. Run it here and copy/export the output directly.

/ai-prompt-injection-tester/

For automation planning, fetch the canonical contract at /api/tool/ai-prompt-injection-tester.json.