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Palo Alto Networks Prisma AIRS

Palo Alto Networks Prisma AIRS AI Agent
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Overview

Prisma AIRS 3.0: Palo Alto Networks platform securing the full AI lifecycle — runtime threat detection, agent governance, and AI red teaming.

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Prisma AIRS (AI Runtime Security) is Palo Alto Networks' purpose-built platform for securing enterprise AI applications, models, data, and autonomous agents. It provides real-time runtime inspection to block prompt injection, data leaks, tool misuse, and memory attacks; AI red teaming; model security; and agent identity governance across development through production deployment.

AI Agent Store research

What the evidence says about Palo Alto Networks Prisma AIRS

Prisma AIRS is enterprise AI-security infrastructure, not an AI agent. It combines agent discovery and governance, runtime firewall and API controls, model scanning, red teaming, posture management, and an AI Gateway for LLM, MCP, and agent-to-agent traffic.

Last reviewed August 18, 2026

Verified capabilities

  • Agent discovery and governance

    The platform inventories agents across SaaS, cloud, low-code, and custom environments and evaluates ownership, identities, permissions, configurations, and activity.[1]

  • Lifecycle security testing

    It scans agent code, MCP servers, skills, and models and performs behavior-focused red teaming before production deployment.[1], [2]

  • Runtime and gateway enforcement

    Runtime Firewall, Runtime API, and AI Gateway inspect prompts, responses, tool calls, MCP interactions, and agent-to-agent traffic and enforce security policies.[2], [4]

Research coverageExact counts from this profile; bars are relative to the largest count shown.

Where it fits best

  • Enterprise security teams governing and protecting AI applications, models, data, custom agents, SaaS agents, MCP connections, and multi-agent systems across clouds.[1], [2]

Buying and deployment notes

Pricing is enterprise and credit-based. Prisma AIRS uses a BYOL model funded with Software NGFW credits; firewall capacity is based on deployment profiles and instances, while Runtime API usage is measured in monthly token quotas. Exact public dollar prices were not established.[3]

Platforms: Strata Cloud Manager, Panorama, AI Runtime API, MCP Server, AWS, Microsoft Azure, Google Cloud[2], [3], [4]

Deployment: Network intercept firewall, API intercept, Cloud account discovery, Containerized AI Gateway data plane[2], [3], [4]

Important considerations
  • Prisma AIRS uses bring-your-own licensing funded through Software NGFW credits and requires a Customer Support Portal authcode, deployment profiles, and related Strata services rather than simple public self-service pricing.[3]
  • Deployment can require onboarding AWS, Azure, or GCP accounts, assigning permissions, enabling logging, and deploying network or API intercept components.[2], [3]
  • This listing represents security and governance infrastructure around agents; it does not itself perform end-user business tasks as an autonomous worker.[1], [2]
Sources and research method (4)

We record only claims tied to public sources checked by our team or listing workflow. Counts above are derived directly from this profile, not a subjective rating.

  1. Prisma AIRS Agent Security | Palo Alto NetworksOfficial site · checked 2026-08-18
  2. Prisma AIRS DocumentationDocumentation · checked 2026-08-18
  3. Prisma AIRS LicensesPricing page · checked 2026-08-18
  4. Configure AI Gateway | Prisma AIRSDocumentation · checked 2026-08-18

Autonomy level

79%

Reasoning: Prisma AIRS demonstrates high autonomy through automated AI model scanning, runtime threat prevention, and adaptive red teaming agents that simulate evolving attack patterns without human intervention. The platform autonomously performs continuous posture management, hallucination detection, and permission auditing. However, human oversight remains...

Comparisons

Custom Comparisons

Some of the use cases of Palo Alto Networks Prisma AIRS:

  • Securing AI agents and apps against prompt injection at runtime.
  • Governing autonomous agent access and tool usage in production.
  • AI red teaming and lifecycle security for enterprise AI deployments.

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Pricing model:

contact for pricing

Code access:

closed-source

Popularity level: 66%

Industries:

CybersecurityAI SecurityEnterprise Software

Tags:

runtime securityAI protectionSDK integrationSecOps platformthreat detection

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