Overview

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

Vendor
Trust3 AI4
Description
Unified data and AI access governance platform that secures data across cloud and on-premises environments and governs autonomous AI agents.4
Deployment
SaaS2
Status
Active3
Formerly
Privacera, renamed 2026-03-09.4

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 Source
Training Data Detect: Not covered Primary 1
Runtime AI Data Identify: Not covered Secondary 2

Framework Relevance

These frameworks include controls relevant to the asset classes Trust3 AI defends. This is an editorial inference from the AI Defense Matrix asset-level crossmap, not a statement that Trust3 AI implements these controls or is certified against them.

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Framework Asset class Relevant controls
NIST IR 8596 Training Data Training data
Runtime AI Data Prompts (runtime); inference data
CSA AI Controls Matrix Training Data Data Security and Privacy Lifecycle Management; Model Security
Runtime AI Data Data Security and Privacy Lifecycle Management; Application and Interface Security
ISO 42001 Training Data A.7 Data for AI systems
Runtime AI Data A.7 Data for AI systems; A.8 Information for interested parties
Google SAIF Training Data Secure training data; data-security foundations; dataset provenance and integrity
Runtime AI Data Expand AI red-teaming; runtime input and output safety; prompt defense
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)
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 Training Data AML.T0020 Poison Training Data; AML.T0019 Publish Poisoned Datasets; AML.T0024.000 Infer Training Data Membership
Runtime AI Data AML.T0051 LLM Prompt Injection; AML.T0054 LLM Jailbreak; AML.T0056 Extract LLM System Prompt
OWASP AI Exchange Training Data Development-time threats: data poisoning, backdoor injection, dataset integrity violations
Runtime AI Data Input threats: prompt injection, adversarial inputs, evasion; runtime threats: RAG poisoning, memory tampering
OWASP LLM Top 10 Training Data LLM04 Data and Model Poisoning; LLM03 Supply Chain (dataset provenance)
Runtime AI Data LLM01 Prompt Injection; LLM02 Sensitive Information Disclosure; LLM08 Vector and Embedding Weaknesses; LLM05 Improper Output Handling
OWASP Agentic Security Top 10 Training Data ASI04 Agentic Supply Chain Vulnerabilities (dataset provenance and integrity)
Runtime AI Data ASI06 Memory & Context Poisoning; ASI01 Agent Goal Hijack (via prompt injection in runtime inputs)

Provenance

Last sourced 2026-06-09.

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Sources

  1. Privacera vector DB and RAG access control
    Vendor source accessed 2026-07-04
    • “discovering and securing sensitive fine-tuning data, RAG, and user interactions feeding into AI-powered models to model outputs”
  2. Privacera AI Governance
    Vendor source accessed 2026-06-09
    • “Full-fidelity traces with real-time drift and injection detection One-click audit evidence for EU AI Act, HIPAA, NIST 03 / SECURE Authorize every action.”
  3. Trust3 AI
    Vendor source accessed 2026-06-09
  4. Meet Trust3 AI: The Next Chapter for Privacera in Data and AI Governance
    Press source accessed 2026-06-09

Changelog

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

  2. Enriched from the Privacera AI Governance documentation; noted the Trust3 AI rebrand.

  3. Re-slugged from privacera to trust3-ai and recorded the rename to Trust3 AI, announced 2026-03-09.

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