Wald helps enterprises secure AI usage. Prevent data leaks with AI endpoint DLP or give teams secure access to multiple LLMs through a managed workspace.
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Sign InWald.ai is an enterprise-grade platform designed to secure and govern the use of generative AI across organizations. Its core value proposition is enabling businesses to harness the power of large language models (LLMs) and AI assistants without compromising sensitive data, intellectual property, or regulatory compliance. By acting as a secure gateway, it prevents data leaks at the AI endpoint, ensuring that confidential information never leaves the corporate perimeter when interacting with external or internal AI models.
Key features: The platform offers AI endpoint Data Loss Prevention (DLP) that automatically redacts or intelligently substitutes sensitive data like Personally Identifiable Information (PII), trade secrets, and financial details before they are sent to an AI model. It provides a managed workspace where teams can securely access a curated selection of multiple LLMs (such as GPT-4, Claude, or proprietary models) from a single interface. Advanced capabilities include real-time AI search across company documents, automated document processing with privacy controls, and the creation of custom, compliant AI assistants and chatbots. The system also enforces granular usage policies and provides detailed audit logs.
What sets Wald.ai apart is its deep focus on context-aware data protection specifically for AI interactions, going beyond traditional network DLP. It employs intelligent data substitution, which replaces real sensitive data with realistic but fake equivalents, allowing AI models to generate useful outputs without ever seeing the actual secrets. Technically, it integrates seamlessly via API, browser extension, and direct integrations with popular collaboration and productivity tools, ensuring protection across all points of AI usage without disrupting employee workflows.
Ideal for regulated industries and any enterprise concerned with data sovereignty and AI risk management. Primary use cases include legal firms needing to analyze case files without exposing client PII, healthcare organizations requiring HIPAA-compliant AI interactions, financial institutions protecting transaction data, and technology companies securing their source code and trade secrets during AI-assisted development. It is also crucial for companies implementing internal AI chatbots that handle customer or employee data.
Pricing follows a freemium model with a free tier for small teams or evaluation, scaling to custom enterprise plans based on data volume, number of users, and required compliance frameworks. The platform is designed to meet stringent standards including GDPR, CCPA, and HIPAA, which are typically addressed in higher-tier subscriptions.