ardent privacy

1 review

The leading company in enterprise security, ardent aims to minimize your cyber risk and ensure your data is secure. Your sensitive data is crucial to your operation and it’s our job to keep it safe.

Ardent Data Inventory, Data Identification, and Mapping

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Ardent Privacy's TurtleShield Data Inventory (DI module is a sophisticated solution designed to automate the discovery, identification, and mapping of sensitive data across an organization's entire data ecosystem. By leveraging machine learning and artificial intelligence, TurtleShield DI provides businesses with a comprehensive and real-time view of their data assets, enabling informed decision-making and enhanced data governance. Key Features and Functionality: - Automated Data Discovery: Scans structured and unstructured data across on-premises and cloud environments to locate sensitive information. - Data Identification and Classification: Utilizes AI-powered classification methods to categorize data based on sensitivity and compliance requirements, such as personally identifiable information (PII, financial records, and health data. - Data Mapping: Provides real-time mapping of data flows within the organization, ensuring visibility into data processing activities and facilitating compliance with regulations like GDPR and CCPA. - Risk Prioritization: Assigns risk scores to data assets, allowing organizations to focus on protecting the most critical and vulnerable data. - Compliance Facilitation: Generates comprehensive reports on data locations, classifications, and access details, supporting audit readiness and regulatory compliance. Primary Value and Problem Solved: TurtleShield DI addresses the challenge of unknown data landscapes within organizations by providing an accurate and automated data inventory. This empowers businesses to make informed decisions regarding data management, enhances data hygiene, and reduces exposure to potential breaches. By automating data discovery and mapping processes, TurtleShield DI minimizes manual workload, ensures compliance with data privacy laws, and fosters greater transparency between companies and their customers regarding data handling practices.