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Prisma AIRS AI Gateway

Paid#5 of 34 in LLM Gateway Software

Prisma AIRS AI Gateway: A security-focused gateway for governing enterprise AI traffic, agents, and model access. Ranked #5 of 34 in LLM Gateway Software by our editors (8.6/10); pricing: Pricing on request; best for security-focused enterprise AI traffic governance.

8.6/10Editor score

Contact Palo Alto

Prisma AIRS AI Gateway8.6 Contact Palo Alto

At a glance

Editor score
8.6 / 10
Pricing
Pricing on request
Best for
Security-focused enterprise AI traffic governance
Founded
2005 · Santa Clara, California, United States
Facts checked
21 Sep 2026

Where it wins
- Tracks AI usage, users, tokens, latency, and cost
- Combines budgets, quotas, rate limits, routing, and access controls
- Supports threat inspection, agent identity, MCP, and A2A traffic
Where it doesn't
- Pricing requires contacting sales
- Uses consumption-based token metering and Software NGFW or Flex credits
- Provider integrations are not verified

Our verdict on Prisma AIRS AI Gateway

Prisma AIRS AI Gateway is an enterprise control plane for AI applications, agents, copilots, LLM traffic, MCP interactions, and agent-to-agent communication. It is aimed at organizations that need centralized oversight of AI traffic alongside security and policy controls. The gateway provides a universal API for routing traffic across providers, while tracking usage, users, models, tokens, latency, and cost. Deployment options include SaaS and hybrid models, with management through Strata Cloud Manager and a customer-hosted data plane available for hybrid deployments.

Governance is the product’s central strength. Administrators can manage models, tools, and access from one control layer, then apply budgets, spending rules, quotas, rate limits, and policy checks. Prompt and response inspection addresses runtime threats, while agent identity verification and scoped credentials help control access for agent-based workflows. Basic and third-party guardrails are also supported. MCP and agent-to-agent traffic support broadens the gateway’s scope beyond conventional application-to-model requests.

The commercial model is oriented toward enterprise procurement. Licensing uses consumption-based token metering and Software NGFW or Flex credits, with buyers directed to contact a sales representative for an estimate. That structure may suit organizations already evaluating Palo Alto Networks infrastructure and needing security-focused governance across AI systems. Teams seeking a simple, self-serve gateway, a free plan, or a clearly specified provider-integration catalog should consider a narrower alternative. Prisma AIRS is the stronger fit when observability, policy enforcement, budgets, identity, threat inspection, and hybrid deployment matter more than low-friction adoption.

Your product? Our editors can test Prisma AIRS AI Gateway in depth and publish a review, labelled as paid · from $149/mo →

Prisma AIRS AI Gateway pricing

Plans Pricing on requestPaid No free plan — trial or paid only. Prices checked 21 Sep 2026.

See plans on paloaltonetworks.com

Prisma AIRS AI Gateway fact sheet

Free plan	Not verified
Paid from	Not verified
Provider count	Not verified
Fallback routing	Not verified
Usage analytics	Yes
Self-hosted deployment	Yes
Budget controls	Yes
Virtual API keys	Yes
Deployment	Cloud, Self-hosted
Platforms	Web
Support	Docs
Built for	Enterprise (editorial estimate)
Pricing	Pricing on request
Website	paloaltonetworks.com
Facts checked	21 Sep 2026

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Featured on iTechGuides

Prisma AIRS AI Gateway is listed in our LLM Gateway Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Last updated 7 Oct 2026 · How we research and update