wald-ai

wald-ai

Wald.ai provides AI-native Data Loss Prevention (AI DLP) and secure LLM access for enterprises, offering on-device governance, contextual intelligence to detect sensitive intent, and a centralized platform (Wald LLM Pack) to access leading models under enterprise controls.

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Freemium Enterprise
#13 in Security (13 tools)
Added 0 year ago
Data reviewed Jul 16, 2026

Profile facts come from the vendor source. AiMatch labels unknown pricing or API details instead of estimating them.

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Quick Overview

Best for: Security

What it does

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Best fit

Security

Pricing snapshot

Freemium from Subscription; specific pricing not listed on the page

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wald-ai

Wald.ai delivers AI-native Data Loss Prevention (AI DLP) and secure, centralized access to leading large language models for enterprises. The platform provides an on-device DLP agent and a SOC 2 compliant SaaS console to observe, govern, and enforce policies around employee AI usage while preserving productivity. Wald targets regulated and security-conscious organizations and emphasizes contextual intelligence, zero-data retention, and flexible deployment models to reduce compliance risk and enable safe use of GenAI.

Wald also offers the Wald LLM Pack, a multi-assistant subscription providing access to top models (ChatGPT, Claude, Gemini, Grok) within a secure, zero-data-retention perimeter, combined with enterprise DLP protections and centralized governance.

A private AI platform for businesses with top-tier data protection and compliance.

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Key Features

On-device AI DLP agent

An endpoint agent that observes AI interactions locally to provide real-time governance, prevent leaks, and enable inline protections.

Contextual Intelligence

Engine uses specialized small language models to detect sensitive intent in prompts rather than relying on simple pattern matching, reducing false positives.

Smart Redaction & Local Re-population

Smart Redaction replaces sensitive data with placeholders so the model can process requests; original data is re-populated locally on the user's screen after the model responds.

Flexible Policy Enforcement

Customizable policies that allow, monitor, warn, or block sensitive usage with centralized governance controls and low false-positive rates.

Wald LLM Pack (Multi-assistant)

Single subscription providing access to multiple leading LLMs (ChatGPT, Claude, Gemini, Grok) with built-in enterprise DLP and centralized monitoring.

Zero-data retention & vendor-agnostic access

Wald states a strict zero-data retention policy and provides an interface to toggle between model providers (OpenAI, Google Gemini, Anthropic, Meta) to avoid vendor lock-in.

SOC 2 compliant SaaS

SaaS control plane for centralized visibility, audit logs, and administration that complements the on-device DLP.

Pricing

Free Tier Available

Get Started - for FREE (page advertises a free 'Get Started' option but no further pricing or limits are provided)

Wald LLM Pack

Subscription; specific pricing not listed on the page
  • Access to four leading models (ChatGPT, Claude, Gemini, Grok)
  • Unlimited tokens (as advertised)
  • Built-in enterprise DLP and centralized governance

Wald AI DLP (SaaS + on-device)

Enterprise pricing; specific rates not listed on the page
  • SOC 2 compliant SaaS control plane
  • Endpoint DLP agent
  • Policy customization and audit logging

Use Cases

Shadow AI discovery and governance

Observe and secure unsanctioned employee use of public AI tools without disrupting workflows by applying contextual protections and audit logs.

Secure, high-stakes AI workflows

Provide a zero-data-retention, centralized workspace (LLM Pack) for teams that need to work with proprietary or sensitive data while using leading LLMs.

Regulated industry compliance

Enable compliance with HIPAA, GDPR, CCPA and other regulations through enterprise DLP controls, data masking, and centralized monitoring for regulated organizations.

Academic / FERPA-compliant AI workflows

Protect academic AI workflows to achieve FERPA compliance while enabling teacher productivity and safe AI usage in schools.

Cross-model experimentation and vendor flexibility

Allow organizations to switch between AI providers quickly to adopt superior models without lengthy procurement or security reviews.

Integrations

OpenAI / ChatGPT

Wald enables access and governance for OpenAI models via the Wald LLM Pack and ecosystem-agnostic gateway.

Google Gemini

Supports Gemini as one of the leading models in the multi-assistant LLM Pack and in provider toggling.

Anthropic (Claude)

Provides access and governance controls for Anthropic's Claude within the centralized interface.

Meta (Grok referenced)

Platform supports toggling to various model providers, including Meta, through a single secure interface.

Browsers

Wald mentions support for top AI models and browsers for observing data that flows through AI tools.

Benefits

Complete observability and real-time control over employee AI usage to prevent sensitive data leaks.
Lower false-positive rates through contextual intent detection compared to legacy regex-based DLP.
Enable secure access to multiple leading LLMs under a single subscription with centralized governance.
Preserve productivity by using smart redaction and local re-population so AI can operate without exposing secrets.
Compliance-focused design (SOC 2, zero-data retention) suited for regulated organizations.
Eliminates vendor lock-in by enabling quick switches between model providers from one interface.

Limitations

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Frequently Asked Questions

How is Wald.ai deployed within our existing infrastructure?
Wald offers flexible deployment models; most enterprises start with the SOC 2 compliant SaaS for immediate time-to-value, while the DLP solution is installed at every endpoint and the SaaS application can be accessed through any browser.
What is Wald’s primary technical differentiator compared to traditional DLP?
Wald uses Contextual Intelligence: specialized small language models detect sensitive intent in milliseconds and Smart Redaction replaces sensitive data with placeholders so AI can still reason, then re-populates original data locally—addressing limitations of binary, pattern-based legacy DLP.
What is the difference between the Wald AI DLP and the LLM Pack?
Wald AI DLP is a transparent governance layer that integrates with existing AI tools to monitor and prevent leaks; the LLM Pack is a centralized interface giving direct access to leading models within a zero-data-retention perimeter for teams needing a private, unified environment.
Is our proprietary data used to train the underlying LLMs?
No. Wald states a strict zero-data retention policy and says prompts are sanitized and encrypted before reaching a provider; enterprise agreements guarantee data flowing through the platform is not used for model training or fine-tuning.
What is the 'Ecosystem-Agnostic' advantage?
Wald eliminates vendor lock-in by allowing a single secure interface to toggle between providers (OpenAI, Google Gemini, Anthropic, Meta) so organizations can adopt new models quickly without separate security and legal reviews.

Getting Started

  1. 1 Book a demo or sign up via the 'Get Started - for FREE' flow on the site.
  2. 2 Begin with Wald's SOC 2 compliant SaaS for immediate time-to-value.
  3. 3 Install the Wald AI DLP agent on endpoints to enable on-device protections.
  4. 4 Configure policies and integrate the SaaS console (accessible via browser) for centralized visibility and enforcement.

Support

Book A Demo

Schedule a demo via the 'Book A Demo' call-to-action on the site.

Contact Us

Contact options referenced on the site (Contact Us link).

Talk To The Founder

Site includes a 'Talk To The Founder' option for direct engagement.

Resources & Whitepapers

Downloadable resources such as the AI DLP whitepaper and customer case studies are available from the site.

API

Available: No

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