Jupyter notebooks for testing Prisma AIRS AI Runtime with your LLM
Minimal AI chat application for testing Prisma AIRS Red Teaming - provides baseline vulnerability assessment without building your own AI application
Secure Python Chatbot with PANW AIRS protection and Perplexity API
Secure Python Chatbot with PANW AIRS protection and OpenAI API
Postman collection of test prompts to use for evaluating Prisma AIRS
Demo AI chat app with optional Prisma AIRS Runtime Security for before/after red team testing comparison
Interactive Jupyter demo of Prisma AIRS detecting pickle deserialization attacks (CWE-502) in ML models. Educational security demonstration with ROI analysis.
🚨 Intentionally vulnerable AI chatbot for Prisma AIRS Red Teaming testing. Docker-containerized Flask app with OWASP Top 10 LLM vulnerabilities (prompt injection, data leakage, jailbreaks). FREE mode (no API key) or OpenAI mode. Generates 50-100+ detections.
This package allows you to test **Prisma AIRS Runtime Security** effectiveness by using **AI Red Teaming** to attack a protected test application.
Secure n8n workflows with Prisma AIRS AI Runtime Security integration. Provides real-time security scanning, prompt injection detection, and threat blocking for AI chatbot interactions.
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