Use & Build AI Assistants with Zero Data Exposure

PrivateGPT by Wald

Protect sensitive information and maintain full control over your AI workflows with Wald.ai’s in-built advanced DLP and privately hosted solution.

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What Secure AI Looks Like In Practice

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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.

Why PrivateGPT?

Security and compliance are critical when using LLMs. You need a solution that safeguards sensitive data, ensures responsible AI use, and adheres to Data Protection Laws. At Wald.ai, we help organisations in 3 ways:

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Who is Wald’s PrivateGPT For?

Organizations Needing Secure, Private Access to Existing LLMs

Our advanced DLP engine provides contextual redaction, making it safe to harness the power of ChatGPT, Claude, and more without risking data exposure.

Teams Requiring an Independently Hosted Model with 3rd-Party Security

Our privately hosted LLM runs on a secure environment, with encryption owned by you. Reduce risks, maintain compliance, and keep your data under your control.

Businesses Looking to Build Custom AI Assistants Securely

Develop AI assistants tailored to your enterprise needs—without compromising security.

How does Wald’s PrivateGPT work?

Wald’s PrivateGPT i.e. Contextual Data Redaction is an advanced approach to protecting sensitive information in conversational AI systems. Unlike traditional methods, our technology understands the context and semantics of conversations, providing dynamic and intelligent protection.

Detecting Sensitive Intent, Not Just Entities

At Wald.ai, we don’t just detect sensitive entities—we recognizesensitive intent. Even when a prompt doesn’t include personally identifiable information (PII), it can still convey highly sensitive situations. In many cases, the sensitivity lies in thecontext, not just in specific details.

Confidential AI Queries

Our Private GPTidentifies and protects implicit sensitivity by applyinginflection—a process that reframes prompts to maintain privacy while preserving their intent.

Why This Matters?

With Wald.ai’s Private GPT, organizations can focus on productivitywithout compromising user privacy—ensuring security, trust, and ethical AI adoption.

Privacy First

Protects individuals by ensuring AI never processes personally sensitive information.

Ethical AI Use

Enables enterprises to leverage AI securely, without risking exposure of confidential matters.

Here's how Wald protects you...

Illustration of Wald's Multi-LLM selection

Intelligent Context Analysis

Our advanced Natural Language Processing (NLP) engine comprehends the nuances of language, identifying sensitive information that traditional systems might overlook.

List of compliances Wald's DLP solution helps enterprise maintain

Adaptive Learning for Evolving Threats

Powered by our machine learning core, we adapt to new data patterns and potential vulnerabilities, keeping you ahead of emerging threats.

Illustration of Wald's Dashdoard that shows the Security Leader about the AI usage segregated by LLM

Comprehensive Data Relationships

By leveraging a Knowledge Graph, we map relationships between diverse pieces of information, enabling context-aware decisions about what requires protection.

Mathematically Guaranteed Privacy

Our Cryptographic Privacy Layer ensures that any sensitive information we store on behalf of our customers is kept encrypted with keys that they own, such that even we can’t access this data. This ensures that even if our servers are breached, the customer information stays safe.