Enprivacy provides AI‑aware privacy platforms that automatically detect and redact sensitive data in generative AI interactions, ensuring compliance with regulations such as GDPR and CCPA. Its solutions integrate with existing enterprise systems to deliver real‑time risk monitoring, audit trails, and customizable data handling policies for regulated industries.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations face increasing difficulty protecting sensitive data while adopting AI tools, leading to regulatory compliance risks, data breaches, and operational hesitation. Traditional privacy measures often lack the scalability and AI-specific safeguards needed for modern, data‑driven workflows.
Solution
Enprivacy delivers enterprise‑grade privacy platforms that combine AI‑aware data protection with comprehensive compliance frameworks. Its flagship product, Invisiq, automatically detects and redacts sensitive information in AI interactions, enabling employees to use generative AI safely while maintaining regulatory oversight. The Safesuit suite provides end‑to‑end data security, continuous risk assessment, and policy enforcement across heterogeneous environments. Both solutions integrate with existing IT stacks and offer real‑time monitoring, audit trails, and customizable guardrails to align with industry standards such as GDPR, CCPA, and sector‑specific regulations. By embedding privacy controls directly into AI workflows, Enprivacy helps businesses innovate without compromising data integrity or legal obligations.
Target Audience
Primary customers are large enterprises in regulated sectors such as finance, healthcare, and insurance that need to secure data while deploying AI solutions, as well as IT and compliance teams responsible for privacy governance.
Features
- AI‑aware data scanning that identifies and masks sensitive information in real time during AI tool usage
- Automated compliance checks and policy enforcement aligned with global privacy regulations
- Continuous risk monitoring with alerts and audit logs for data protection incidents
- Seamless integration via APIs and connectors to common enterprise applications and AI platforms
- Customizable guardrails allowing organizations to define data handling rules per department or use case
- Scalable architecture designed for high‑volume, multi‑region deployments in regulated industries