Customize, deploy, and control AI models securely.
Privaro
Enterprise AI governance platform that detects, masks and audits sensitive data in LLM interactions
About Privaro
Privaro provides an AI governance layer for enterprises that monitors, anonymizes and logs sensitive data in real time across all LLM interactions. The platform detects personally identifiable information such as names, IBANs and health data in both prompts and model responses, replacing it with tokens before data reaches external AI systems. It offers a privacy-first chat interface for teams, centralized control over multiple AI providers, and full audit trails for compliance reporting. Privaro also optimizes token usage by compressing logs and outputs while preserving protected PII tokens, reducing costs per LLM call. The system enforces policies on what data can enter or leave AI models and maintains blockchain-certified logging for high-assurance environments. It is designed for regulated sectors including legal, healthcare, fintech and enterprise AI deployments where data sensitivity defines compliance requirements.
Key features
- PII detection in prompts and responses
- Automatic anonymization with token replacement
- Real-time monitoring and logging
- Centralized AI provider management
- Blockchain-certified audit trails
- Token optimization for cost reduction
- Policy enforcement for data handling
- Multi-provider support (OpenAI, Anthropic, DeepSeek, etc.)
Use cases
- Legal teams protecting privileged communications during AI-assisted contract analysis
- Healthcare organizations preventing PHI exposure in clinical note summarization
- Fintech and finance institutions tokenizing IBANs and KYC data under GDPR and PSD2
Pros
- Real-time detection and masking of PII in both prompts and model responses
- Centralized control panel for managing multiple AI providers and models
- Full audit logging with blockchain-certified records for compliance
- Token optimization reduces costs by up to 57% per LLM call
- No integration required for initial setup and browser-based demo
Cons
- No free tier or open API access mentioned
- Browser-only live demo with no persistent storage
- Limited to enterprise use cases with no clear individual developer options
Frequently asked questions about Privaro
What does Privaro do?
Privaro provides an AI governance and privacy platform that monitors, anonymizes, and logs sensitive data in real time across all LLM interactions. It detects personally identifiable information and replaces it with tokens before data reaches external AI systems.
Who is Privaro designed for?
Privaro is designed for regulated sectors such as legal, healthcare, fintech, and enterprise AI deployments where data sensitivity defines compliance requirements.
How does Privaro handle sensitive data in AI interactions?
Privaro detects sensitive data like names, IBANs, and health data in both prompts and model responses, replacing it with tokens to ensure privacy before data is processed by external AI systems.
Does Privaro support multiple AI providers?
Yes, Privaro offers centralized control over multiple AI providers, allowing organizations to enforce privacy policies across different systems.
What kind of logging does Privaro provide for compliance?
Privaro maintains full audit trails for compliance reporting and offers blockchain-certified logging for high-assurance environments.
How does Privaro optimize costs for LLM usage?
Privaro compresses logs and outputs while preserving protected PII tokens, which helps reduce costs per LLM call.
Privaro traffic & engagement
privaro.ai · third-party estimates from Similarweb
Traffic trend
Last 3 months · grows by one month every month
- Jul 2026658
- Aug 20261.7K+165.7%
- Sep 20265K+185.8%
Where visitors come from
Share of visits by channel
No measurable traffic from Social, Paid Referrals, Mail or Search.
Top countries
Share of visits · estimated visits
Compared with similar tools
Coding & Development · Sep 2026
Traffic figures are third-party estimates, good for scale and trends; they can differ from a company's own numbers. Updated monthly.