Secure Access to AI models

Wald LLM Pack

Give your teams the AI they want without risking the data you can’t afford to expose. Securely access ChatGPT, Claude, Gemini, and Grok with contextual prompt sanitization.

New: Cross-LLM Memory is now supported

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Wald.ai — Prompt Sanitization
Wald.ai · Prompt Sanitization

Same intent, zero exposure. Every prompt, sanitized before it leaves your hands.

Wald Sanitizes every prompt contextually - not blunt redactions - so the model still understands what you're asking, while the underlying data never leaves your control. Pick an example below to see it happen.

Example prompts
Raw prompt
Sanitized prompt
What's masked, and why the model still gets it

Sanitized prompts are sent to the model of your choice — ChatGPT, Claude, Grok, or Gemini. We keep every one on its latest version, and they're all included in your Wald subscription.

ChatGPT Claude Grok Gemini

Want to see what the model actually says back?

Run this exact sanitized prompt in the Wald Workspace and get the real response — with your data never exposed to the model.

Try in Wald Workspace →
Copies this raw prompt, then opens sign up — free

Try it with your own prompt

Write a prompt that includes something sensitive — a client name, a deal number, an internal figure. We'll copy it and take you to sign up, where Wald sanitizes it for real before it reaches any model.

Copied — paste it in Wald Workspace after you sign up
Wald.ai — Make AI safe to use Context preserved. Data protected.

What Makes It Different

Prompt Sanitization

Prompt Sanitization

Automatically spots and masks sensitive information within your prompts, contextual redaction that makes AI secure for work from day one.

100% Visibility & Control

100% Visibility & Control

Wald helps you in staying compliant with HIPAA, GDPR and CCPA with easy to view audit logs and access controls.

Secured by Design

Secured by Design

End-to-end encryption and contextual sanitization ensure your data stays within your organization. Not even Wald has access to it.

What Secure AI Looks Like In Practice

Inside the moment these leaders finally felt confident putting AI in the hands of their people.

See It In Action

Our goal was to enable broad access to top AI tools and LLMs without the friction of competing platforms, bans, or invasive oversight. Wald delivered exactly that. By securely detecting and sanitizing sensitive data in real time, Wald allows our employees to use leading LLMs safely and efficiently. It has streamlined workflows, enhanced visibility into AI usage across the credit union, and provided deep insights through its data classification capabilities.

Chris Chatelain
Chris Chatelain

Vice President of Information Security at EFCU Financial

As AI usage grew across our credit union, we needed to maintain visibility, protect member data, and ensure compliance without slowing employees down. Wald.ai helped us do exactly that. The platform gives us clear insight into AI usage, flags sensitive information, and uses data masking to protect workflows—making oversight significantly easier. This allows our team to securely use different LLMs for their daily needs, boosting productivity while maintaining strict security and governance controls.

Ryan Caruthers
Ryan Caruthers

Director of Information Security & ISO at OUCU Financial

Wald has made using AI much easier for our teams. Having access to multiple leading LLMs through a single secure platform means employees can use the right model for the job without juggling multiple subscriptions. The built-in data sanitization and centralized audit logs give us the confidence to adopt AI while supporting our security, governance, and compliance requirements

Jon Scottorn giving a review for Wald AI DLP
Jon Scottorn

AVP of Technology, Partner
Colorado Credit Union

Wald.ai with its contextual intelligence addresses a significant need in sanctioned company wide use of generative AI.It offers a thoughtful approach to securing employee AI conversations and safeguarding sensitive private data and our intellectual property

Fatima Afzal

Senior Director Marketing & Comms @PayActiv

It offers a thoughtful approach to securing employee AI conversations and safeguarding sensitive private data and our intellectual property

Donovan Bray

Director of DevOps @Kiavi

Wald enables our employees to safely leverage leading AI models so they can reduce the time they spend on manual tasks. Our traditional DLP was built for email and file transfers and not AI prompts. Wald gave us real visibility and control over how our employees use LLMs without slowing productivity.

Jonathan Antonio

Vice President of Infrastructure @Suki

Ensuring that internal sensitive data remains protected while leveraging AI has significantly enhanced the efficiency and accuracy of legal work without compromising confidentiality or privilege.

Rick Borden

Partner, Data Strategy, Privacy and Cybersecurity in New York, and former Assistant General Counsel at a top 5 US bank.

Frequently Asked Questions

Contact Us

What is Wald LLM Pack?

Wald LLM Pack is an AI workspace that gives individuals and teams access to multiple leading AI models from a single interface. Instead of switching between different AI tools, users can interact with several large language models in one place. Wald also includes a prompt sanitization layer that masks sensitive data before prompts are sent to external AI providers.

Why would a team use multiple AI models instead of just ChatGPT?

Different AI models excel at different tasks. Some perform better at writing, others at coding, reasoning, research, or summarization. A multi-LLM workspace like Wald allows teams to switch between models easily and choose the best one for each task without leaving the same platform.

Which AI models are available in Wald LLM Pack?

Wald LLM Pack provides access to several widely used large language models from major providers such as OpenAI, Anthropic, Google, and open-source ecosystems. This allows users to experiment with different models and select the one that delivers the best results for their specific tasks.

Can users switch between AI models inside Wald?

Yes. Wald allows users to switch between different AI models within the same workspace. This makes it easy to compare responses, test different models with the same prompt, and choose the model that performs best for a particular task.

What is a multi-LLM platform?

A multi-LLM platform allows users to access multiple AI models from different providers through a single interface. Instead of managing separate tools, logins, or APIs for each model, users can work with multiple models from one workspace.

How much does Wald LLM Pack cost?

Wald LLM Pack costs $19.99 per user per month. The subscription provides access to multiple leading AI models in a single workspace, helping individuals and teams avoid paying for multiple AI tools or subscriptions.

Are there usage limits in Wald LLM Pack?

No. Wald LLM Pack provides unlimited usage, allowing users to send as many prompts as needed. This enables teams to use AI freely for research, writing, coding, and brainstorming without worrying about prompt limits or request caps.

Is Wald an alternative to ChatGPT Teams?

Yes. Wald can be used as an alternative to ChatGPT Teams for organizations that want access to multiple AI models. While ChatGPT Teams focuses on a single model ecosystem, Wald allows users to switch between several models within one AI workspace.

How does Wald protect sensitive data when using AI?

Wald protects sensitive data through a prompt sanitization layer that analyzes prompts before they are sent to external AI models. The system detects sensitive information and replaces it with masked or anonymized placeholders, reducing the risk of exposing confidential data.

What is prompt sanitization?

Prompt sanitization is the process of detecting and masking sensitive information before sending prompts to AI models. This helps prevent personal data, confidential business information, or other sensitive details from being shared with external AI providers.

How is contextual sanitization different from simple redaction rules?

Traditional redaction systems rely on pattern matching, such as detecting emails or credit card numbers using regex rules. Wald uses contextual sanitization, which analyzes the meaning of the prompt to identify sensitive information more accurately while preserving the context of the request.

Is Wald suitable for startups and small teams?

Yes. Wald LLM Pack is designed to make multi-model AI access affordable and simple for startups, small businesses, and growing teams. It removes the need to manage multiple AI subscriptions while providing access to several AI models in one platform.

How does Wald help reduce the cost of using AI tools?

Many teams pay for multiple AI tools to access different models. Wald consolidates access to several AI models into one workspace for a single monthly price, helping teams reduce tool sprawl and manage AI usage more efficiently.

What types of tasks can teams perform using Wald LLM Pack?

Teams use Wald for a wide range of tasks including content writing, research, coding assistance, marketing copy, brainstorming, summarization, and data analysis. Access to multiple AI models allows users to choose the best model for each task.

How quickly can a team get started with Wald LLM Pack?

Teams can start using Wald within minutes after creating an account. The platform provides immediate access to multiple AI models without requiring complex setup or infrastructure.