Daystrom is a CLI tool that provides full operational coverage over Palo Alto Prisma AIRS AI security capabilities
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Updated
Mar 14, 2026
Daystrom is a CLI tool that provides full operational coverage over Palo Alto Prisma AIRS AI security capabilities
Jupyter notebooks for testing Prisma AIRS AI Runtime with your LLM
Interactive Jupyter demo of Prisma AIRS detecting pickle deserialization attacks (CWE-502) in ML models. Educational security demonstration with ROI analysis.
OpenClaw plugin for Prisma AIRS from Palo Alto Networks
Fork of PaloAltoNetworks/prisma-airs-integrations — setup guides for Anthropic, Kong, LiteLLM, n8n, Portkey, and TrueFoundry
Library of 28 custom topic guardrails for Prisma AIRS Runtime Security with deploy scripts and industry profile templates
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.
🚨 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 Python Chatbot with PANW AIRS protection and Perplexity API
Secure Python Chatbot with PANW AIRS protection and OpenAI API
Minimal AI chat application for testing Prisma AIRS Red Teaming - provides baseline vulnerability assessment without building your own AI application
Demo AI chat app with optional Prisma AIRS Runtime Security for before/after red team testing comparison
Postman collection of test prompts to use for evaluating Prisma AIRS
Jupyter notebook demonstrating some of the immense capabilities of Prisma AIRS Model Security.
Secure chatbot with Palo Alto Networks AI Runtime Security and native OpenAI API
Hardened Prisma AIRS security profile with 15 custom topics, tuned from 8.71% to 1.02% ASR through iterative red team testing
GitHub Actions CI/CD pipeline for automated AI model security scanning with Palo Alto Networks Prisma AIRS
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