Wald

Wald is an AI governance and data loss prevention (DLP) platform designed to protect sensitive data from entering AI tools. It uses an on-device small language model to monitor AI interactions in the browser, enforce policy in real time, and provide context-aware detection that goes beyond traditional regex methods. Key capabilities include observing data flowing through GenAI tools, enforcing flexible policies (allow, warn, block) with low false-positive rates, and coaching teams with usage insights. Wald also offers the Wald LLM Pack, a single subscription that provides access to multiple leading AI models with built-in prompt sanitization. The platform is deployed on-device within the customer's environment, ensuring sensitive data remains under their control. It supports domain-specific adaptability for industries such as banking, manufacturing, insurance, legal, and healthcare, classifying data from PII to proprietary information and applying granular policy controls based on data type, user role, or LLM.

Key Benefits

• Context-aware DLP with low false-positive rates
• On-device deployment keeps sensitive data within customer control
• Granular policy controls (allow, warn, block) based on data type and user role
• Access to multiple leading AI models under a single subscription