AI Runtime Security
Palo Alto Networks · Cybersecurity & IT
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
AI Runtime Security(also known as Prisma AIRS) discovers and protects AI applications, models and data from threats that applications deployed in the cloud have not traditionally faced. It discovers the entire AI application ecosystem including applications, models, datasets, users, plug-ins, and internet connections across all cloud environments, and defends these applications against emerging AI threats.
As new AI applications are developed, AI Runtime Security will continuously monitor the evolving AI ecosystem and secure these applications. This ongoing assessment enables organizations to swiftly address emerging threats, prevent data breaches, and safeguard their infrastructure from potential attacks.
Highlights
Highlighted by the publisher on AWS Marketplace.
Understand how your Amazon Web Services (AWS) environments are using AI applications. With an intuitive onboarding process, users can quickly analyze data flows to visualize the asset inventory and understand how they communicate with each other. Users gain deep insights into their AI infrastructure, enabling informed decisions for placing Prisma AIRS instances and proactive management to boost efficiency, security, and compliance in their cloud-based AI implementations.
Prisma AIRS provides seamless protection for app-to-app interactions that covers east-west, outbound and inbound traffic and between applications, models and inference datasets. Prisma AIRS also shields against north-south attacks to maintain the full security of all your applications. With Prisma AIRS, you can rest assured that your AI workloads are protected from a wide range of threats, giving you peace of mind as you scale your AI deployments.
Secure and prevent data leakage from your finely-tuned models through application outputs. AI Runtime Security takes a proactive approach to data protection, with detection of over 1,000 predefined and custom data patterns. Our solution offers double the coverage of other cloud-based data security solutions on the market. Be confident that your AI models are not only producing accurate results but also protecting sensitive information from falling into the wrong hands.
Agent build and provenance
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The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Refund terms
As stated by the publisher on AWS Marketplace.
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Sources
Publisher resources
1 linkLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.

