AI Security
Detect and prevent prompt injection attacks, test jailbreak resistance, analyze model outputs for harmful content, and validate input sanitization. Security tools for production AI applications.
AICAI Prompt Injection CheckerNEW
Detect prompt injection attacks in text with pattern matching and a 0-10 risk score.
AISAI Input SanitizerNEW
Remove invisible Unicode, escape injection keywords, and strip dangerous content from LLM input.
AJDAI Jailbreak Pattern DetectorNEW
Detect DAN, developer mode, roleplay exploits, and encoding tricks in AI prompts.
AOFAI Output Filter BuilderNEW
Build content filter rules for LLM output: blocked words, regex patterns, PII detection, and format constraints.
APDAI PII DetectorNEW
Detect personal information (email, phone, SSN, credit card, IP, date of birth) in text before sending to LLMs.
FAQ
- What is prompt injection?
- Prompt injection is an attack where malicious text in user input overrides the system prompt instructions, potentially causing the AI to ignore safety guidelines, leak confidential prompts, or perform unintended actions.
- What is a jailbreak?
- A jailbreak is a technique used to bypass an AI model's safety training and content policies, causing it to produce outputs it would normally refuse. Testing your prompts against known jailbreak patterns helps build more robust systems.
- How do I protect my AI application from prompt injection?
- Use input validation, sanitization, and clear separation between system instructions and user input. Never include sensitive instructions that depend on user secrecy. These tools help you test your defenses before deployment.