What is Protegrity Data Protection Platform?
The Protegrity Data Protection Platform is a solution designed to address the need for data protection in the digital landscape. According to the vendor, this platform offers features and capabilities to reduce cybersecurity risks, accelerate data sharing and analytics, and achieve compliance with industry regulations. The Protegrity Data Protection Platform is suitable for enterprises of all sizes and is used by professionals and industries such as financial services, healthcare, retail, technology, and government.
Key Features
Data Risk Protection: According to the vendor, the platform aims to minimize data risk by meeting industry compliance requirements and maximizing data lockdown. It provides increased access to data while maintaining stringent security measures and offers protection against ransomware, quantum hacking, and insider threats.
De-Risk Enterprise Data: The vendor claims that the platform helps de-risk third-party vendors by relying on them to deliver business value from data. It applies Zero Trust Principles to data, including explicit verification, least privilege access, and assuming a breach. The platform also claims to accelerate time to detection by actively hunting for indicators of compromise and identifying threats quickly.
Fine Grain Data Protection: The platform aims to implement fine grain data protection solutions to enable data security, sharing, and analytics, according to the vendor. It protects sensitive data with methods that cover only necessary data, allowing uninterrupted and protected data flow. The platform also claims to ensure data privacy and compliance with regulatory requirements.
Data Security and Analytics: According to the vendor, the platform safeguards sensitive data while enabling analytics and data-driven decision-making. It provides secure data sharing and collaboration across departments and organizations, as well as secure data access and analysis for better business insights.
Compliance with Industry Regulations: The vendor states that the platform helps achieve compliance with industry regulations such as GDPR, CCPA, HIPAA, and more. It implements data protection measures that align with regulatory requirements and ensures data privacy and security while meeting compliance obligations.
Data Protection Methods: The platform utilizes a range of data protection methods to safeguard sensitive data, according to the vendor. It implements encryption, tokenization, masking, and other techniques to protect data at rest and in transit. The platform claims to apply data-centric security measures to ensure data integrity and confidentiality.
Access Control and Privilege Management: According to the vendor, the platform implements access control mechanisms to manage user privileges and permissions. It enforces least privilege access to minimize the risk of unauthorized data access and monitors and audits user activities to ensure compliance with data protection policies.
Data Masking and Anonymization: The platform aims to mask and anonymize sensitive data to protect privacy and comply with regulations, according to the vendor. It replaces real data with fictional, yet realistic, data to preserve data utility while reducing the risk of exposure. The platform claims to maintain data integrity and usefulness while ensuring data privacy.
Data Encryption: According to the vendor, the platform encrypts sensitive data to protect it from unauthorized access. It utilizes strong encryption algorithms and key management practices to ensure data confidentiality. The platform secures data at rest and in transit to prevent data breaches.
Data Tokenization: The platform aims to tokenize sensitive data by replacing it with unique tokens, according to the vendor. It stores tokens separately from the sensitive data to ensure data security. The platform claims to maintain data usability while reducing the risk of data exposure.
Categories & Use Cases
Technical Details
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