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Prisma AIRS CLI

CLI and library for Palo Alto Prisma AIRS AI security

CI License: MIT Node 20+ TypeScript

Prisma AIRS CLI is a CLI tool that provides full operational coverage over Palo Alto Prisma AIRS AI security capabilities — runtime prompt scanning and configuration management, LLM-driven guardrail generation, adversarial AI red teaming, ML model supply chain security, and multi-topic profile audits with conflict detection. Six LLM provider configurations are supported out of the box.

Capabilities

  • Runtime Security

    Scan prompts against live AIRS security profiles (sync and async), and manage runtime configuration — profiles, topics, API keys, customer apps, deployment/DLP profiles, and scan logs.

    Runtime Security

  • Guardrail Generation

    LLM-driven feedback loop that generates, deploys, tests, evaluates, and iteratively refines custom topic guardrails until coverage meets your target threshold.

    Guardrail Generation

  • AI Red Teaming

    Launch static, dynamic, and custom adversarial scans against AI targets. Full CRUD for targets, prompt sets, and individual prompts with attack category filtering.

    AI Red Teaming

  • Model Security

    ML model supply chain security — manage security groups, browse rules, configure rule instances, create scans, and review evaluations, violations, and file results.

    Model Security

  • Profile Audits

    Evaluate all topics in a security profile at once. Per-topic and composite metrics, cross-topic conflict detection, with terminal, JSON, and HTML output formats.

    Profile Audits

Platform Features

  • Multi-Provider LLM

    Six provider configs — Claude API, Claude Vertex, Claude Bedrock, Gemini API, Gemini Vertex, Gemini Bedrock.

    LLM Providers

  • Cross-Run Memory

    Persists learnings across guardrail runs so the LLM avoids repeating past mistakes. Budget-aware injection keeps prompts focused.

  • Resumable Runs

    Every guardrail iteration checkpoints to disk. Resume failed or paused runs from exactly where they left off.

  • Test Composition

    Carried failures, regression tiers, and fresh LLM-generated tests are composed each iteration with weighted category generation.

Get Started

  • Install

    Prerequisites, installation, and credential setup.

    Installation

  • Quick Start

    Run your first command in minutes.

    Quick Start

  • Configure

    LLM providers, tuning parameters, and data locations.

    Configuration

  • Architecture

    System overview, core loop, memory system, and design decisions.

    Architecture