Privaro
Privaro is an AI governance and compliance platform designed to protect sensitive data when using large language models (LLMs). It detects personally identifiable information (PII) and other sensitive data in prompts and responses, masking them before they reach AI models. The platform also audits every LLM interaction, providing a comprehensive record for compliance and security purposes. Privaro helps organizations comply with regulations such as GDPR and the EU AI Act, which imposes high-risk obligations from August 2, 2026. Key features include PII detection, prompt anonymization, an LLM proxy, and AI data loss prevention (DLP). Privaro offers an Agent Privacy Layer to extend governance to AI agents. The platform is designed for enterprise use, requiring no integration to get started, and provides tools for AI risk assessment. It aims to enable teams to leverage any LLM without exposing sensitive data, ensuring privacy and regulatory compliance.
- Category
- AI compliance
- Pricing
- Unknown
Problem solved
Privaro solves the problem of sensitive data leakage when using AI models by detecting and masking PII and other confidential information before it reaches the model, and by providing audit trails for compliance with regulations like GDPR and the EU AI Act.
Use cases
- Preventing PII leakage in LLM prompts
- Ensuring GDPR compliance for AI usage
- Auditing LLM interactions for regulatory compliance
- Masking sensitive data in AI responses
- Implementing AI governance policies across an organization
- Monitoring AI usage for data protection and security
- Protecting data in AI agent workflows
Audience
- Enterprise
- Developers
- ML Engineers
- Business Users
Pros
- Comprehensive PII detection and masking for LLM prompts and responses
- Audits every LLM interaction for compliance and security
- Helps organizations comply with GDPR and the EU AI Act
- No integration required to get started
- Includes an Agent Privacy Layer for AI agents
Cons
- Pricing information is not publicly available
- Proprietary solution, not open source
- May require configuration for specific compliance needs
- Limited public documentation on technical architecture
Official website: https://privaro.ai/
Canonical LambdaBase page: https://www.lambdabase.com/tools/privaro