AI Defense Matrix Catalog

Wiz AI-SPM

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Overview

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

Vendor
Wiz2
Description
Agentless AI security posture management that discovers AI pipelines, models, and data across clouds, then surfaces misconfigurations and attack paths to AI services.2
Deployment
SaaS2
Status
Acquired1
Acquisition
Acquired by Google (Alphabet), announced 2026-03-11. It now operates as a standalone product.1
Compliance
SOC 2 Type II, SOC 3, ISO 27001, ISO 27017, ISO 27018, ISO 27701, PCI DSS v4.0.1, HIPAA3agent (company-level, see Methodology)

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 Identify Coverage
AI-Workload Platforms Primary 2
AI Model Secondary 2
Runtime AI Data Secondary 2

Framework Relevance

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

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Framework Asset class Relevant controls
NIST IR 8596 AI-Workload Platforms Containers, microservices, and libraries (AI-specific subset); inference endpoints (platform side)
AI Model Models; Algorithms (model configuration)
Runtime AI Data Prompts (runtime); inference data
CSA AI Controls Matrix AI-Workload Platforms Infrastructure Security; Threat & Vulnerability 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-Workload Platforms A.6 AI system life cycle; A.4 Resources for 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-Workload Platforms Expand strong security foundations; secure and harden the AI deployment environment
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-Workload Platforms Conventional Security Controls (host AI within the existing ISMS; authentication and access controls; encryption at rest); AI Supply Chain Management (local vs. SaaS hosting trade-offs; internal model garden)
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-Workload Platforms AML.T0010 AI Supply Chain Compromise; AML.T0012 Valid Accounts (platform credential abuse); container and inference-server exploits
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
OWASP AI Exchange AI-Workload Platforms Development-time threats: supply chain attacks, model-platform CVEs, container escape
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-Workload Platforms LLM03 Supply Chain (compromised AI platform components); LLM04 Data and Model Poisoning (via platform)
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-Workload Platforms ASI04 Agentic Supply Chain Vulnerabilities (model and tool-platform components); ASI08 Cascading Failures (platform fault propagation)
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 2026-07-17.

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Sources

  1. Google completes acquisition of Wiz
    Vendor source accessed 2026-06-07
  2. Wiz AI-SPM solution page
    Vendor source accessed 2026-06-07
    • “AI Discovery & Inventory Discover and catalog AI models, agents and services across PaaS platforms, SaaS AI applications, and custom deployments.”
    • “AI Service Catalog Understand how AI services connect across applications, infrastructure, and data sources.”
  3. Wiz Public Trust Center
    Vendor source accessed 2026-07-04
    • “Our SOC 2 Type II + HIPAA report and our SOC 3 report are available in the Customer Trust Center below.”

Changelog

  1. Added verbatim source quotes to coverage and compliance citations.

  2. Added compliance attestations from the Wiz public trust center with a source.

  3. Verified details and recorded the completed Google acquisition (March 2026).

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