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AI security & guardrails

Prisma AIRS

Security coverage across model artifacts, application testing, organizational posture and live agent interactions.

Overview

Research summary

Prisma AIRS is Palo Alto Networks' commercial platform for securing AI systems across development and runtime. Its capabilities include discovering AI assets, assessing security posture, scanning model artifacts, red teaming applications and enforcing runtime protections. It also includes controls for agent security and AI gateway governance. Protect AI's capabilities were integrated into Prisma AIRS following its acquisition by Palo Alto Networks. The suite is broader than a guardrail library and its individual deployment options and modules are governed by commercial terms.

Repository summary

Stars
Unavailable
Open issues
Unavailable
Last push
Unavailable
Commits, 90 days
Unavailable
Repository activity
Not scored
Version
Unavailable

Recorded catalogue figures. View repository data and provenance →

Classification

Pricing & services

Paid services available

The provider offers paid products or services. Free options may also be available.

Commercial offering checked 2026-10-02.

Licence scope

Proprietary

Implementation

Recorded implementation details and interfaces for Prisma AIRS.

Implementation details

Commercial security platform with gateway, model-scanning, posture, red-teaming and runtime components.

Languages
Not public
Repository type
none

Recorded interfaces and capabilities

Licence scope

Proprietary

Repository

Repository snapshots, release information and recorded maintenance signals.

Repository snapshot

No GitHub repository is recorded for this entry.

Stars
Unavailable
Open issues
Unavailable
Last push
Unavailable
Commits, 90 days
Unavailable
Repository activity
Not scored
Archived
Not recorded

Repository activity is a snapshot, not a quality or popularity ranking. It combines recent-push freshness (50%), 90-day commits (30%) and issue pressure (20%).

Maintenance and provenance

Catalogue snapshot
2026-10-06

Documentation

Recorded references and research provenance for this entry.

Recorded sources 4

Research metadata

Research date
2026-10-01
Catalogue snapshot
2026-10-06