数据库静态脱敏

云集数据库静态脱敏系统（简称YJ-DBM）是一款高性能、高兼容、智能化、全场景支持的数据去标识化、匿名化产品。支持泛化、扰乱、随机等脱敏技术共计数十种具体算法和策略，向客户提供“保真性”、“关联性”、“可逆性”、“可重复性”、“时效性”、“安全性”等六个不同维度的敏脱特性满足，能够解决大多数用户针对合规性满足以及敏感数据泄露防护等场景的业务需求

Yunji Database Static Data Masking System (abbreviated as YJ-DBM) is a high-performance, highly compatible, and intelligent data de-identification and anonymization product that supports all application scenarios. It integrates a total of dozens of specific algorithms and strategies across multiple data masking technologies such as generalization, perturbation, and randomization. The system provides customers with coverage of six distinct dimensions of data masking characteristics: "fidelity", "relevance", "reversibility", "repeatability", "timeliness", and "security", and can address the business needs of most users in scenarios such as compliance fulfillment and sensitive data leakage prevention.

搜集汇总

背景与挑战

背景概述

YJ-DBM是一款高性能数据库静态脱敏系统，提供数十种算法策略实现数据匿名化，满足合规性要求与敏感数据防护需求。其六大特性可应对不同业务场景，确保数据安全与可用性。