AI Defense Matrix Catalog

Immuta

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Overview

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

Vendor
Immuta2
Description
Data security platform that discovers and classifies sensitive data, enforces attribute-based access policies and masking at the data layer for AI and RAG workloads, and monitors data usage for risk.2
Deployment
SaaS2
Status
Active2

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
Training Data Primary 2
AI Agent Identities Secondary 1

Framework Relevance

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

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Framework Asset class Relevant controls
NIST IR 8596 Training Data Training data
AI Agent Identities Agents as autonomous principals; Keys; Integrations and permissions
CSA AI Controls Matrix Training Data Data Security and Privacy Lifecycle Management; Model Security
AI Agent Identities IAM; Governance, Risk and Compliance
ISO 42001 Training Data A.7 Data for AI systems
AI Agent Identities A.9 Use of AI systems; A.3 Internal organization; A.5 Assessing impacts of AI systems
Google SAIF Training Data Secure training data; data-security foundations; dataset provenance and integrity
AI Agent Identities Focus on Agents (explicit SAIF section); identity, authorization, and delegation controls
SANS Critical AI Security Guidelines Training Data Conventional Security Controls (defend training data; avoid data commingling); Data/Model Engineering Controls (data-quality controls; poison-robust training); Data Minimization and Obfuscation (differential privacy; synthetic data; federated learning)
AI Agent Identities Secure Agentic Systems and AI Autonomy Controls (defined function scope; API and function-call gating; escalation and fallback); Limit Model Behavior (least-privilege focused functionality; human oversight; override capabilities)
MITRE ATLAS Training Data AML.T0020 Poison Training Data; AML.T0019 Publish Poisoned Datasets; AML.T0024.000 Infer Training Data Membership
AI Agent Identities AML.T0053 AI Agent Tool Invocation; credential and delegation-chain abuse
OWASP AI Exchange Training Data Development-time threats: data poisoning, backdoor injection, dataset integrity violations
AI Agent Identities Runtime threats: unauthorized agent actions, capability abuse, delegation chain exploitation
OWASP LLM Top 10 Training Data LLM04 Data and Model Poisoning; LLM03 Supply Chain (dataset provenance)
AI Agent Identities LLM06 Excessive Agency; LLM05 Improper Output Handling; unauthorized actions by AI agents
OWASP Agentic Security Top 10 Training Data ASI04 Agentic Supply Chain Vulnerabilities (dataset provenance and integrity)
AI Agent Identities ASI03 Identity and Privilege Abuse; ASI10 Rogue Agents; ASI09 Human-Agent Trust Exploitation; ASI02 Tool Misuse and Exploitation (when tied to agent permissions)

Provenance

Last sourced 2026-06-09.

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Sources

  1. Immuta Agentic Data Access
    Vendor source accessed 2026-06-09
    • “Whether you add 1 agent or 100, they all automatically follow the same enterprise guardrails without a single additional database role being manually created.”
  2. Immuta Data Security for AI
    Vendor source accessed 2026-06-09
    • “Unifying data discovery, policy enforcement, activity monitoring, and auditing in a single, integrated plane makes it easy to mitigate risk without slowing the pace of AI innovation.”

Changelog

  1. Enriched from the Immuta data security documentation.

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