Prisma AIRS AI Model Security

Assess and secure third-party and proprietary models by scanning them in place at selection or predeployment, validating their supply chain and protecting your IP without slowing delivery.


AI models are the new core infrastructure

AI models are becoming the new core infrastructure for your business, but most of them arrive as “black boxes.”
You’re pulling models from open-source communities and AI platforms at high speed — yet you often can’t see what’s really inside:
embedded code, backdoors, poisoned components or hidden dependencies.

At the same time, your proprietary models and training data are your competitive advantage.
Moving them out of your environment just to scan them creates new exposure points and compliance headaches.
Security teams are stuck between two less-than-ideal choices: slow everything down with manual reviews or accept unknown risk in production.

Prisma AIRS® AI Model Security is built to remove that tradeoff — so you don’t have to choose between speed and safety.

See inside your models. Secure what’s inside.

Prisma AIRS AI Model Security analyzes models directly within your environment, inspecting their structure and components
to uncover malicious code, backdoors and hidden risks. It validates each model’s origin and dependencies using
global threat intelligence to detect supply chain compromise across open-source and third-party sources.

These checks integrate into CI/CD and MLOps workflows, automatically evaluating models as they move through
development so teams can deploy AI confidently without exposing sensitive assets or slowing release cycles.

Eliminate Model Blind Spots

Reveal hidden threats inside third-party and proprietary models, including malicious code, backdoors and unsafe dependencies.

Secure the AI Supply Chain

Validate model origins and components with global threat intelligence to reduce risk from compromised or tampered sources.

Enforce Consistent Model Standards

Apply risk-based policies across every model — internal or third-party — to ensure only trusted, compliant models move forward.

Turn black box models into your most trusted assets

The Prisma AIRS AI Model Security inspects each layer of an AI model — architecture, weights,
operators and embedded code — to uncover hidden vulnerabilities, malicious payloads
and structural weaknesses that legacy scanners can’t see.

Deep Threat Detection and Model Visibility

Analyze 35+ model file types (PyTorch, ONNX, TensorFlow and more) for 25+ categories of threats, including embedded malicious code, backdoors and other structural risks — so models stop being a blind spot.

Global Threat Intelligence and Supply Chain Assurance

Leverage Palo Alto Networks Advanced WildFire® plus insights from the huntr ethical hacker community to validate models against known and emerging threats across millions of scanned models. Validation results are logged and retained to support audit and compliance workflows.

In-Place Model Scanning to Protect IP

Keep proprietary models and data within your environment while still getting full security analysis, helping reduce IP exposure and simplifying compliance.

Integrated into Your AI Development Lifecycle

Use API-first integration to embed model scanning into build, test and deployment workflows, enabling continuous protection and consistent enforcement without manual ticketing between security and data science teams.

Latest product updates

We're innovating at the speed of AI. Check out the newest features and updates in Prisma AIRS AI Model Security.


Additional Model Sources

Scans models in Artifactory and GitLab

January 2026

Custom Labeling

Applies custom labels to scans

January 2026

Scan from Cloud

Scans models directly from cloud storage

January 2026

Customize Security Groups

Expands model-violation visibility and configuration

December 2025

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