AI Defense Matrix Catalog

Protect AI

Visit official site

Overview

Product details compiled from public sources, each with a citation.

Vendor
Protect AI1 · Details at Cyber Company Profiles
Description
Model scanning, AI red teaming, and runtime protection for AI, now sold as Palo Alto Networks Prisma AIRS AI Model Security, AI Red Teaming, and AI Runtime Security.4agent
Deployment
SaaS, Self-hosted4agent
Status
Acquired5
Acquisition
Acquired by Palo Alto Networks, announced 2025-07-22. It has been folded into the acquirer as Prisma AIRS.5

Matrix Coverage

Where this product defends, by asset class and NIST CSF function. The Coverage column shows whether each asset is Primary, Secondary, or Adjacent to what the product does. The table omits empty rows and columns.

Asset class IdentifyProtectDetect Coverage
AI Coding and Orchestration Tools Primary 3
AI Model Primary 2
Runtime AI Data Secondary 4

Framework Relevance

These frameworks include controls relevant to the asset classes Protect AI defends. This is an editorial inference from the AI Defense Matrix asset-level crossmap, not a statement that Protect AI implements these controls or is certified against them.

Expand Collapse
Framework Asset class Relevant controls
NIST IR 8596 AI Coding and Orchestration Tools Agents as deployed artifacts (orchestration view; see AI Agent Identities row for the principal view); system prompts and templates
AI Model Models; Algorithms (model configuration)
Runtime AI Data Prompts (runtime); inference data
CSA AI Controls Matrix AI Coding and Orchestration Tools Application and Interface Security; Supply Chain Management
AI Model Model Security; Governance, Risk and Compliance
Runtime AI Data Data Security and Privacy Lifecycle Management; Application and Interface Security
ISO 42001 AI Coding and Orchestration Tools A.6 AI system life cycle; A.5 Assessing impacts of AI systems
AI Model A.6 AI system life cycle; A.10 Third-party and customer relationships; A.5 Assessing impacts of AI systems
Runtime AI Data A.7 Data for AI systems; A.8 Information for interested parties
Google SAIF AI Coding and Orchestration Tools Secure the AI supply chain; application and pipeline security; agent orchestration controls
AI Model Protect the AI model; ensure model integrity, provenance, and weight security
Runtime AI Data Expand AI red-teaming; runtime input and output safety; prompt defense
SANS Critical AI Security Guidelines AI Coding and Orchestration Tools Secure Agentic Systems and AI Autonomy Controls (defined function scope; execution isolation; API and function-call gating); Limit Model Behavior (focused functionality; access controls outside the model)
AI Model Conventional Security Controls (protect model parameters with least privilege, encryption at rest, runtime obfuscation, and trusted execution environments); Data/Model Engineering Controls (adversarial training; alignment and fine-tuning); AI Supply Chain Management (public-model caution; transfer-attack exposure)
Runtime AI Data Model I/O Handling (sanitize, validate, and filter inputs and outputs; segregate user and system prompts; multilayered prompt-injection defense); Conventional Security Controls (protect augmentation and RAG data with vector-store access controls and validation); Data Minimization and Obfuscation (limit sensitive prompt content; context-window management); Limit Model Behavior (AI guardrails)
MITRE ATLAS AI Coding and Orchestration Tools AML.T0051 LLM Prompt Injection; AML.T0054 LLM Jailbreak; AML.T0016 Obtain Capabilities (malicious plugins)
AI Model AML.T0043 Craft Adversarial Data; AML.T0024 Exfiltration via AI Inference API (subtechniques: AML.T0024.001 Invert AI Model and AML.T0024.002 Extract AI Model); AML.T0018 Manipulate AI Model (integrity and backdoor)
Runtime AI Data AML.T0051 LLM Prompt Injection; AML.T0054 LLM Jailbreak; AML.T0056 Extract LLM System Prompt (system prompt leaks as inference data; the AI Coding and Orchestration Tools row owns it as configuration)
OWASP AI Exchange AI Coding and Orchestration Tools Development-time threats: agent framework supply chain; runtime threats: plugin abuse, prompt injection via tools
AI Model Development-time and runtime model threats: model inversion, extraction, evasion, poisoning
Runtime AI Data Input threats: prompt injection, adversarial inputs, evasion; runtime threats: RAG poisoning, memory tampering
OWASP LLM Top 10 AI Coding and Orchestration Tools LLM01 Prompt Injection; LLM05 Improper Output Handling; LLM07 System Prompt Leakage; LLM10 Unbounded Consumption
AI Model LLM03 Supply Chain; LLM04 Data and Model Poisoning; LLM09 Misinformation
Runtime AI Data LLM01 Prompt Injection; LLM02 Sensitive Information Disclosure; LLM08 Vector and Embedding Weaknesses; LLM05 Improper Output Handling
OWASP Agentic Security Top 10 AI Coding and Orchestration Tools ASI01 Agent Goal Hijack; ASI02 Tool Misuse and Exploitation; ASI05 Unexpected Code Execution (RCE); ASI07 Insecure Inter-Agent Communication; ASI08 Cascading Failures; ASI10 Rogue Agents
AI Model ASI04 Agentic Supply Chain Vulnerabilities (model provenance, weights, and dynamic loading)
Runtime AI Data ASI06 Memory & Context Poisoning; ASI01 Agent Goal Hijack (via prompt injection in runtime inputs)

Provenance

Last sourced 2026-06-09.

Expand Collapse

Sources

  1. Protect AI platform
    Vendor source accessed 2026-06-07
  2. Prisma AIRS AI Model Security
    Vendor source accessed 2026-09-22
    • “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.”
  3. Prisma AIRS AI Red Teaming
    Vendor source accessed 2026-09-22
    • “Prisma AIRS combines dynamic agentic profiling with autonomous attack simulation to surface vulnerabilities across your entire AI stack.”
  4. Prisma AIRS AI Runtime Security
    Vendor source accessed 2026-09-22
    • “Prisma AIRS AI Runtime Security applies inspection, policy enforcement and threat prevention directly to live AI interactions.”
    • “Detect and block AI-specific threats such as prompt injection, malicious URLs and poisoned content while applications are live.”
  5. Palo Alto completes Protect AI acquisition
    Vendor source accessed 2026-06-07

Changelog

  1. Refreshed source links and quotes against the current vendor pages.

  2. Corrected matrix coverage (erratum): removed the training-data row.

  3. Updated the description and coverage notes to the current Prisma AIRS product names.

  4. Re-cited the deployment field to the current Prisma AIRS page; the Protect AI Guardian page no longer exists.

  5. Recorded the post-acquisition product name (Prisma AIRS).

  6. Verified details and recorded the Palo Alto Networks acquisition and fold into Prisma AIRS.

Found an error? Corrections are welcome. Suggest an edit.