数据安全态势感知

数据安全态势感知系统是一款以数据访问行为分析为基础的数据安全防护和管理系统。该系统通过对数据库审计、数据库防火墙、数据脱敏等各种数据安全产品采集的日志信息进行集中处理，将多种异构数据进行归一，并进行关联分析，将数据资产分布状况、敏感数据访问行为进行动态展示，并预测数据资产可能面临的泄露风险。还原并展示一个清晰、透明、可控的数据资产分布、数据访问行为、数据安全风险态势。 态感平台是一个集分析与管理为一体的数据安全感知平台，平台内置多种AI模型、画像、运算引擎，可对海量日志进行全量关联分析，为用户提供集中管理、事前预警、事中防御、事后溯源服务，让用户360°无死角把握数据动向，辅助用户更安全有效的做出响应和决策The Data Security Situation Awareness System is a data security protection and management system built on data access behavior analysis. This system centrally processes log data collected by various data security products such as database audit, database firewall, and data masking, normalizes multiple heterogeneous datasets, performs correlation analysis, dynamically displays the distribution of data assets and sensitive data access behaviors, and predicts potential leakage risks that data assets may face. It restores and presents a clear, transparent and controllable overview of data asset distribution, data access behaviors and data security risk situation. The Data Security Situation Awareness Platform is an integrated data security perception platform that combines analysis and management capabilities. The platform is embedded with multiple AI models, data profiles and computing engines, and can conduct full-scale correlation analysis on massive logs. It provides users with services including centralized management, pre-incident early warning, in-progress defense and post-incident traceability, enabling users to fully grasp data trends with 360-degree blind-spot-free coverage, and assisting users in making safer and more effective responses and decisions.

搜集汇总

背景与挑战

背景概述

该数据集描述了一个数据安全态势感知系统，通过整合多源安全日志进行关联分析，动态监控数据资产和访问行为，并利用AI模型实现风险预测和全周期安全管理。系统提供从预警到溯源的完整防护体系，帮助用户全面掌握数据安全态势。