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Wald: AI Data Loss Prevention

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Wald provides AI Data Loss Prevention (AI DLP) and secure LLM access for enterprises. It offers on-device AI DLP to prevent sensitive data leaks and a managed workspace for secure access to multiple leading LLMs, ensuring compliance and productivity.

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Wald: AI Data Loss Prevention screenshot
Wald: AI Data Loss Prevention screenshot

Wald empowers enterprises to govern and secure their use of generative AI. The platform offers two primary solutions: Wald AI DLP and the Wald LLM Pack. Wald AI DLP provides granular control and observability over employee AI interactions, acting as an on-device guardrail to prevent sensitive data leaks and address compliance blind spots. Its context-intelligent DLP engine analyzes data flowing through AI tools, surpassing traditional regex methods with superior accuracy and low false-positive rates. This solution supports top AI models and browsers, allowing for flexible policy customization to monitor, warn, or block sensitive usage.

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The Wald LLM Pack offers a unified and secure workspace for teams to access leading Large Language Models (LLMs) such as ChatGPT, Claude, Gemini, and Grok. This solution provides unlimited tokens across four elite models for a single subscription price, boosting team productivity. It features multi-assistant capabilities, allowing instant switching between models, and is built with enterprise-grade DLP for every interaction, aiding compliance with standards like HIPAA, GDPR, and CCPA. A centralized dashboard offers full visibility and control over usage across all models.

Wald's approach is designed to eliminate the challenges of traditional DLP, which often struggles with the nuances of AI prompts. By employing contextual intelligence, Wald understands the intent behind prompts, using specialized small language models to detect sensitive information in milliseconds. Its Smart Redaction feature replaces sensitive data with intelligent placeholders, allowing AI to process requests without exposing confidential information. Upon AI response, original data is re-populated locally, ensuring a seamless user experience and zero data retention by model providers. This "ecosystem-agnostic" advantage allows enterprises to instantly deploy new or superior AI models without lengthy procurement cycles, avoiding vendor lock-in.

Wald is trusted by over 55 regulated organizations and is SOC 2 Type II compliant. It caters to industries such as Banking & Financial Services, Healthcare & Healthtech, Insurance, Accounting & Legal, and Customer Success. The platform is deployed via flexible models, often starting with a SOC 2 compliant SaaS solution accessible through any browser, with the DLP agent installed locally on endpoints.

  • CategoryAI Cybersecurity Tools
  • Pricing ModelContact sales
  • DeploymentSaaS, On-device
  • PlatformsWeb

  • On-device AI DLP agent for real-time protection

  • Contextual intelligence for understanding AI prompt intent

  • Smart Redaction to protect sensitive data while allowing AI reasoning

  • Secure LLM access to multiple leading models (ChatGPT, Claude, Gemini, Grok)

  • Unified workspace for AI tools with unlimited tokens

  • Centralized AI governance dashboard for visibility and control

  • Zero-data retention policy for all AI interactions

  • Compliance support for HIPAA, GDPR, and CCPA

  • Flexible deployment models, including SOC 2 compliant SaaS

  • Low false-positive rates for high accuracy

  • Real-time usage insights for employee coaching

  • Ecosystem-agnostic advantage to avoid vendor lock-in

  1. Configure: Set up granular policies for AI usage and data protection.

  2. Deploy: Install the on-device AI DLP agent across employee endpoints.

  3. Integrate: Connect to your organization's existing AI tools or utilize the Wald LLM Pack.

  4. Monitor: Gain real-time visibility into AI interactions and data flow.

  5. Enforce: Allow, warn, or block sensitive AI usage based on defined policies.

  6. Optimize: Leverage usage insights to coach teams and refine AI governance.

  • Prevent Data Leaks
  • Secure LLM Access
  • Ensure Compliance
  • Enhance Productivity
  • Gain AI Visibility
  • Mitigate Shadow AI
  • Unified AI Workspace

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