Wald Desktop DLP Agent

On-Device AI Data Protection. Full Observability. Zero Blind Spots.

The first on-device DLP built for Gen AI: real-time policy enforcement and deep data observability for every AI interaction.

AI Adoption Is Outpacing Your Security

Your teams are already using Claude, Gemini, ChatGPT, and dozens of other AI tools. Each conversation potentially exposes:

Intellectual Property worth millions

Customer PII subject to regulatory fines

Strategic Plans that competitors covet

Source Code that powers your business

Traditional DLP can’t keep up. Network-based solutions add latency.

What is On-Device DLP for AI?

On-device DLP (Data Loss Prevention) is a security approach that detects and classifies sensitive data leakage directly at the endpoint without sending information to external servers.

Wald's on-device DLP provides:

For complete data control, our privately hosted LLM ensures full ownership and security.

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Local DLP model with no user visible latency
Complete visibility into all AI interactions
Policy enforcement at the endpoint
No network exposure of sensitive data

The Wald Advantage

Real-Time Protection Without Compromise

What This Means for Your Organization

Regulatory Compliance

Meet data residency requirements. Ensure GDPR/CCPA compliance. Pass your next audit with flying colors.

Productivity Unleashed

Let teams leverage AI at full speed. No more choosing between innovation and security.

Complete Visibility

Know exactly how AI is being used across your organization. Make informed decisions about AI governance with real time sensitive data observability.

Risk Mitigation

Prevent data breaches before they happen. Protect your reputation and bottom line.

Frequently asked questions.

How does on-device DLP differ from traditional DLP solutions?

Traditional DLP solutions typically operate at the network level, inspecting data as it passes through gateways. This approach means data is sent to external servers. Wald's on-device DLP operates directly on the endpoint, inspecting all AI interactions locally while they're sent to AI platforms. 

Can Wald’s AI security agent detect all types of sensitive data?

Yes. Wald’s AI security agent is designed to detect and classify sensitive information with high accuracy. Unlike tools that rely only on regular expression matching, it understands context and intent, which means it can identify sensitive content even if no explicit marker like a name, email address, or ID number is present.

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Out-of-the-box, it recognizes PII (Personally Identifiable Information), PHI (Protected Health Information), intellectual property, source code, and can also be adapted for custom data types unique to your organization. This ensures protection not just against obvious risks, but also against subtle data exposures hidden in conversations or documents.

How does AI data observability benefit my organization?

AI data observability provides complete visibility into how AI tools are being used across your organization. This allows you to identify patterns of sensitive data sharing, understand AI usage trends, and make informed decisions about AI governance policies—all while maintaining compliance with regulations like GDPR and CCPA.