Injection Detector
Detect prompt injection attempts in user input
No Injection Detected
Input appears safe
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What is Prompt Injection?
Prompt injection is an attack where malicious users craft inputs designed to override an LLM's instructions. Attackers try to make the AI ignore its system prompt, reveal internal information, or behave in unintended ways.
This detector scans user inputs for common injection patterns before they reach your LLM, providing an early warning layer in your security stack.
Common Injection Types
Instruction Override
"Ignore previous instructions..." attempts to nullify the system prompt.
Role Manipulation
"Pretend you are..." or "You are now..." attempts to change AI identity.
System Prompt Extraction
"Reveal your prompt" tries to extract confidential system instructions.
Defense Strategies
- Input validation: Filter suspicious patterns before sending to LLM.
- Output filtering: Scan responses for leaked system prompts.
- Sandboxing: Limit what the LLM can access or do.
- Prompt hardening: Design system prompts to resist manipulation.
FAQ
Is pattern matching enough?
No. Sophisticated injections use obfuscation. Combine with semantic analysis and model-based classifiers for production.
What about false positives?
Low-risk patterns may trigger on legitimate inputs (e.g., discussing AI safety). Use risk levels to guide response—don't auto-block low risk.