# Wald.ai

According to OpenAITools.app telemetry verified on 2026-11-11, Wald.ai (wald.ai) is an AI platform indexed under AI Assistant generating 8.58K monthly visits with a month-over-month traffic delta of +1.96K (+29.5%). Its primary geographic market is United States (62.3% traffic share), and it operates on a Free Trial, Paid pricing model. Top competing alternatives by monthly volume include Harvey (1.83M visits/mo), Abacus.AI (3.28M visits/mo), Omnifact (39.65K visits/mo).

Enterprise AI data security with context-aware AI DLP and a secure AI workspace

## Key Telemetry & Specifications

| Metric | Value |
| :--- | :--- |
| Tool Name | Wald.ai |
| Handle | wald-ai |
| Status | active |
| Origin | independent |
| Maintenance | active |
| Official Domain | wald.ai |
| Website URL | https://wald.ai |
| Categories | AI Assistant, Large Language Models (LLMs), AI Agent |
| Pricing Model | Free Trial, Paid |
| Monthly Visits | 8,576 |
| MoM Traffic Change | 1,955 |
| MoM Growth Rate | +29.5% |
| Primary Market | United States |
| Market Share | 62.3% |
| Direct Visits | 3,363 |
| Organic Search Visits | — |
| Social Visits | — |
| Referral Visits | 860 |
| Email Visits | 281 |
| Review Score | 4.4 |
| Saved Count | 0 |
| Supported Platforms | Website |
| Billing Platforms |  |
| Attributes | Features: Website; Pricing: Free Trial; Pricing: Paid |
| Tags | AI Privacy, Data Protection, Compliance, Secure AI, Custom AI Assistants, Contextual Redaction, Data Masking, AI Agents, Enterprise AI Security |

## Overview

Wald.ai addresses a specific enterprise problem: teams adopt generative AI faster than security teams can see it. The platform provides an AI DLP layer at the endpoint that observes and governs how employees use AI tools, covering desktop apps, embedded AI, coding assistants, personal AI accounts and MCP servers. Rather than relying on static rules, it uses small language models deployed locally to understand the context and intent behind each interaction.

The product has two core offerings. Endpoint AI DLP secures and governs AI usage across existing ChatGPT, Claude and other AI licences, controlling prompts, documents and agents with real-time, context-aware guardrails. The Secure AI Workspace gives teams access to multiple leading LLMs in one place with built-in prompt sanitisation, so sensitive information is identified and protected before it reaches a model.

Wald emphasises compliance and enterprise trust: it maintains compliance with major frameworks, is used by 55+ regulated organisations, and offers flexible deployment including a SOC 2 compliant SaaS and self-hosted options for strict data isolation. It positions itself as complementary to SASE and Microsoft Purview controls, adding protection at the AI interaction layer and extending governance beyond chat to AI agents and tools.

## Pricing & Plans

Free trial and paid. Wald offers a free start alongside enterprise plans. It advertises a one-subscription LLM Pack bundling unlimited AI access, with AI DLP priced for organisations. Check the pricing page for current details.

## Key Features & Capabilities

- **Endpoint AI DLP:** AI DLP observes and governs Gen AI usage on-device, controlling prompts, documents, agents and MCP connections with real-time, context-aware guardrails.
- **Secure AI workspace:** A secure workspace gives teams access to multiple leading LLMs with built-in prompt sanitisation, so sensitive data is protected before it reaches the model.
- **Contextual, AI-native detection:** Local small language models understand the meaning and intent behind prompts, going beyond PII and pattern matching to detect sensitive data accurately.
- **Agent and MCP governance:** Govern AI agents and MCP tools that read files, call APIs and take actions, with policy following the action rather than the person.
- **Complements your existing stack:** Works alongside Microsoft Purview and existing SASE controls, adding an AI-native layer where traditional controls have limited visibility.

## Primary Use Cases

- **Govern shadow AI usage (Security leader):** Secure and govern employee use of ChatGPT, Claude and other AI tools with real-time guardrails and audit logs.
- **Provide a secure AI workspace (IT administrator):** Give teams one workspace with multiple leading LLMs and prompt sanitisation so sensitive data is protected before it reaches a model.
- **Meet compliance requirements (Compliance officer):** Satisfy compliance and data-protection requirements across regulated workflows with contextual redaction and data masking.
- **Secure AI agents and MCP (Security engineer):** Apply governance to AI agents and MCP connections that read files, call APIs and take action without a human in the loop.

## Strengths

- Context-aware detection goes beyond PII and pattern matching
- Covers AI agents and MCP tools, not just chat
- Trusted by 55+ regulated organisations
- Complements existing SASE and Purview controls
- Local SLM processing keeps sensitive data on-device

## Limitations

- Enterprise-focused; pricing is quote-based and may not suit individuals
- Requires endpoint deployment for the DLP layer
- Full value depends on organisation-wide rollout
- Some capabilities overlap existing SASE/Purview tools, so positioning needs care

## Frequently Asked Questions

### How is Wald deployed?
Most enterprises start with Wald's SOC 2 compliant SaaS for fast time-to-value. The DLP solution is installed on every endpoint, while the SaaS application is accessible through any browser.

### How is the DLP AI-powered?
It uses small language models deployed locally on your system to detect sensitive data beyond pattern matching, classifying the meaning and intent of work so it can govern AI interactions inline rather than just monitor them.

### Can Wald be self-hosted?
For organisations needing the strictest data isolation, Wald can be self-hosted, with the site advertising HIPAA-ready, zero-day data retention and local SLM processing alongside its SOC 2 SaaS option.

### How is Wald different from existing DLP tools?
Wald complements tools like Zscaler, Netskope and Microsoft Purview by adding an AI-native security layer at the point of AI interaction, covering desktop apps, embedded AI, coding assistants and MCP servers.

### Can Wald secure AI agents?
Yes. Beyond chat, Wald governs AI agents and tools that read files, call APIs and act without a human in the loop, applying policy to the action rather than the person.

### What is Wald.ai's monthly traffic and growth trend?
Wald.ai currently receives 8.58K monthly visits, with a month-over-month traffic change of +1.96K (+29.5% growth rate). Its primary source market is United States (62.3% share), including 3.36K direct visits/mo and — organic search visits/mo.

### Is Wald.ai free? What is its pricing model?
Wald.ai operates on a Free Trial, Paid pricing model. Free trial and paid. Wald offers a free start alongside enterprise plans. It advertises a one-subscription LLM Pack bundling unlimited AI access, with AI DLP priced for organisations. Check the pricing page for current details. Supported billing and checkout platforms include: not listed.

### What are the best Wald.ai alternatives in 2026?
Based on OpenAITools.app category traffic and feature fit, the top five alternatives to Wald.ai are: 1. Harvey (1.83M visits/mo); 2. Abacus.AI (3.28M visits/mo); 3. Omnifact (39.65K visits/mo); 4. Credal.ai (20.88K visits/mo); 5. Coworker AI (129.35K visits/mo).

### Which platforms and core AI capabilities does Wald.ai support?
Wald.ai is classified under AI Assistant, Large Language Models (LLMs), AI Agent, supports the following platforms: Website, and its core capability tags include: AI Privacy, Data Protection, Compliance, Secure AI, Custom AI Assistants, Contextual Redaction.

## Alternatives

| Tool Name | Monthly Visits | Pricing Model | Compare |
| :--- | :--- | :--- | :--- |
| [Harvey](https://openaitools.app/tool/harvey-ai) | 1,832,998 | Contact for Pricing | [Compare](https://openaitools.app/compare/harvey-ai-vs-wald-ai) |
| [Abacus.AI](https://openaitools.app/tool/abacus-ai) | 3,278,636 | Contact for Pricing | [Compare](https://openaitools.app/compare/abacus-ai-vs-wald-ai) |
| [Omnifact](https://openaitools.app/tool/omnifact) | 39,650 | Freemium, Contact for Pricing | [Compare](https://openaitools.app/compare/omnifact-vs-wald-ai) |
| [Credal.ai](https://openaitools.app/tool/credal-ai) | 20,876 | Contact for Pricing | [Compare](https://openaitools.app/compare/credal-ai-vs-wald-ai) |
| [Coworker AI](https://openaitools.app/tool/coworker-ai) | 129,346 | Free Trial, Paid, Contact for Pricing | [Compare](https://openaitools.app/compare/coworker-ai-vs-wald-ai) |
| [Vanta](https://openaitools.app/tool/vanta-com) | 931,152 | Contact for Pricing | [Compare](https://openaitools.app/compare/vanta-com-vs-wald-ai) |
| [mxHERO](https://openaitools.app/tool/mxhero-com) | 23,545 | Contact for Pricing | [Compare](https://openaitools.app/compare/mxhero-com-vs-wald-ai) |
| [Gamma.AI](https://openaitools.app/tool/gamma-ai) | 71,636 | Contact for Pricing | [Compare](https://openaitools.app/compare/gamma-ai-vs-wald-ai) |
| [LobeHub](https://openaitools.app/tool/lobehub) | 654,548 | Freemium | [Compare](https://openaitools.app/compare/lobehub-vs-wald-ai) |
| [Invisible Technologies](https://openaitools.app/tool/invisible-technologies-inc) | 1,364,520 | Contact for Pricing | [Compare](https://openaitools.app/compare/invisible-technologies-inc-vs-wald-ai) |
| [AnythingLLM](https://openaitools.app/tool/anythingllm) | 512,269 | Freemium | [Compare](https://openaitools.app/compare/anythingllm-vs-wald-ai) |
| [Fiddler AI](https://openaitools.app/tool/fiddler-ai) | 44,204 | Contact for Pricing | [Compare](https://openaitools.app/compare/fiddler-ai-vs-wald-ai) |

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Source: https://openaitools.app/tool/wald-ai