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Cloaks AI

Cloaks.ai provides an AI-powered data privacy platform that helps organizations protect sensitive information across their digital ecosystems. The platform leverages machine learning to automatically detect, classify, and anonymize personal data in real time, enabling compliance with privacy regulations while maintaining data utility for business operations.

HQ unknown
Updated 12 days ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Organizations struggle to manage data privacy across growing volumes of sensitive information stored in diverse systems, leading to compliance risks and potential data breaches. Manual data classification and anonymization processes are time-consuming, error-prone, and cannot scale to meet modern data velocity and regulatory requirements.

Solution

Cloaks.ai delivers an AI-powered data privacy platform that automatically discovers, classifies, and protects sensitive information across an organization's data infrastructure. The platform uses machine learning models to identify personal data elements in structured and unstructured formats, then applies intelligent anonymization techniques that preserve data utility for analytics and development purposes. Real-time monitoring and policy enforcement ensure continuous compliance with privacy regulations such as GDPR and CCPA. The solution integrates with existing data pipelines and storage systems, enabling seamless deployment without disrupting current workflows.

Target Audience

Primary customers are data engineering teams, privacy officers, and compliance departments at mid-to-large enterprises that handle significant volumes of personal data and need automated privacy protection.

Features

  • Automated sensitive data discovery across databases, data lakes, and application logs
  • ML-based classification of personal data types including names, addresses, financial information, and health records
  • Context-aware anonymization techniques that maintain data realism for testing and analytics
  • Policy-driven access controls with real-time redaction of sensitive fields
  • API-first architecture supporting integration with major cloud providers and data platforms
  • Audit trail and compliance reporting for regulatory documentation
This profile is AI-generated and may contain inaccuracies.