LayerX alternative for AI-aware DLP

LayerX relies on regex and pattern matching to detect sensitive data.Wald uses on-device language models to understand context, reducing false positives and catching real AI-driven data leaks.

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Dashboard interface showing total users, prompts analyzed, sensitive data detections, and prevented exposures with charts for data exposures, AI app risks, weekly actions, and team-wise usage statistics.

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 breaks with AI. Browser-based approaches like LayerX Security rely on patterns, while network-based controls add latency.

What is On-Device DLP for AI?

On-device DLP runs directly on the endpoint using locally installed small language models to understand context, unlike LayerX Security which relies on pattern matching. This means sensitive data is detected more accurately without sending anything to external servers.

Wald's on-device DLP provides:

For complete data control, our endpoint hosted AI DLP model ensures complete visibility 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

Understand what Wald can actually detect across your data

Explore Data Type Coverage

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 Wald Endpoint 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.