AI Defense Matrix Catalog

Wald AI

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Overview

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

Vendor
Wald AI1
Description
AI data-loss-prevention and secure LLM-access broker that inspects employee GenAI prompts in real time and uses context-aware redaction to keep sensitive data out of model calls.1
Deployment
SaaS, Self-hosted1
Status
Active2
Compliance
SOC 2 Type I, SOC 2 Type II1agent (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 ProtectDetect Coverage
Runtime AI Data Primary 1

Framework Relevance

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

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Framework Asset class Relevant controls
NIST IR 8596 Runtime AI Data Prompts (runtime); inference data
CSA AI Controls Matrix Runtime AI Data Data Security and Privacy Lifecycle Management; Application and Interface Security
ISO 42001 Runtime AI Data A.7 Data for AI systems; A.8 Information for interested parties
Google SAIF Runtime AI Data Expand AI red-teaming; runtime input and output safety; prompt defense
SANS Critical AI Security Guidelines 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 Runtime AI Data AML.T0051 LLM Prompt Injection; AML.T0054 LLM Jailbreak; AML.T0056 Extract LLM System Prompt
OWASP AI Exchange Runtime AI Data Input threats: prompt injection, adversarial inputs, evasion; runtime threats: RAG poisoning, memory tampering
OWASP LLM Top 10 Runtime AI Data LLM01 Prompt Injection; LLM02 Sensitive Information Disclosure; LLM08 Vector and Embedding Weaknesses; LLM05 Improper Output Handling
OWASP Agentic Security Top 10 Runtime AI Data ASI06 Memory & Context Poisoning; ASI01 Agent Goal Hijack (via prompt injection in runtime inputs)

Provenance

Last sourced 2026-06-25.

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Sources

  1. Wald AI homepage
    Vendor source accessed 2026-07-05
    • “SOC2 TYPE II Trusted By 55+ Regulated Organizations”
    • “It uses Smart Redaction to replace sensitive data with intelligent placeholders”
  2. Wald AI pricing
    Vendor source accessed 2026-06-25

Changelog

  1. Added to the catalog from the Wald AI documentation.

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