Make AI Safe

DLP that understands context, not just keywords and rules.

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.

Wald AI DLP


Wald AI DLP is an on-device small language model that runs locally on the endpoint, monitoring AI interactions in the browser and enforcing AI Policy in real time.

Observe the data that flows through your GenAI tools with our context intelligent DLP superior to traditional regex methods.

Enforce Flexible policy customisation to allow, warn or block sensitive usage. Achieve high accuracy with the industry's lowest false-positive rates

Coach teams with real-time usage insights to remove innovation barriers and build safe AI habits.

I can give my team secure access to all leading conversational AIs without worrying about data leakage concerns.

At PayActiv, we use Wald.ai for our marketing needs. It helps us efficiently create social posts, email campaigns, and event materials. The platform's focus on data privacy and access to multiple AI models gives us peace of mind.

Fatima Afzal

Senior Director Marketing & Comms @PayActiv

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

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.

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

Wald's privacy and security product makes it feasible to use AI assistants at law firms

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.

Domain Specific Adaptibility

Wald understands multiple industry nuances, detecting sensitive data with precision and sanitizing only what’s necessary to preserve utility and maintain compliance.

What Makes Wald Secure

On-Device
Deployment

Wald runs within your environment, keeping sensitive data inside your control boundary, no external data exposure, no third party retention risk.

Diagram showing Wald.ai Context Intelligence transforming sensitive data into redacted content, illustrating advanced DLP for AI that uses NLP for accurate contextual redaction instead of regex

Smart Contextual Identification

Detects sensitive data based on meaning, not just keywords, reducing false positives while accurately flagging real risk.

Diagram showing Wald.ai Context Intelligence transforming sensitive data into redacted content, illustrating advanced DLP for AI that uses NLP for accurate contextual redaction instead of regex

Fine-Grain Classification

Our on-device SLMs classify data at a detailed level, from PII to financial and proprietary information, enabling precise protection.

Diagram showing Wald.ai Context Intelligence transforming sensitive data into redacted content, illustrating advanced DLP for AI that uses NLP for accurate contextual redaction instead of regex

Granular Policy Controls

Define exactly how data interacts with AI. Allow, Warn or Block sensitive usage based on data type, user role, LLM or policy requirements.

Diagram showing Wald.ai Context Intelligence transforming sensitive data into redacted content, illustrating advanced DLP for AI that uses NLP for accurate contextual redaction instead of regex
Ready to experience AI governance without slowing teams?