万里红人员保密行为分析系统

万里红人员保密行为分析系统对保密管理的单位、人员、资产三大核心实体，进行实体活动、实体特征智能关联和拉通，结合机器学习和专家经验动态规则实时计算个体偏差、群体偏差等数据指标，并通过积分的形态体现个体和群体的各类行为的偏离度，从而构建出单位、人员、资产的保密行为风险画像，根据画像多维、全面的数据指标精准定位单位中保密安全意识淡薄的人员、潜在的窃密分子和单位安全管理薄弱地带，使安全管理核心力量更有效的靶向打击和治理，进而高质量强化单位保密安全管理打击能力。

Wanlihong Personnel Confidentiality Behavior Analysis System focuses on the three core entities involved in confidentiality management—units, personnel, and assets—by intelligently correlating and integrating their activities and characteristics. Leveraging machine learning and dynamic rules derived from expert experience, it calculates data indicators such as individual deviations and group deviations in real time, and uses scores to quantify the deviation levels of various behaviors of both individuals and groups. By this means, it constructs confidentiality behavior risk profiles for units, personnel, and assets. Based on the multi-dimensional and comprehensive data indicators in these profiles, the system accurately identifies personnel with insufficient confidentiality security awareness, potential classified information thieves, and weak links in the unit's security management. This enables the core security management teams to conduct targeted strikes and governance more effectively, thereby enhancing the organization's confidentiality security management and threat countermeasure capabilities in a high-quality manner.

搜集汇总

背景与挑战

背景概述

万里红人员保密行为分析系统是一个专注于保密管理的工具，通过分析单位、人员和资产的行为数据，结合机器学习和动态规则计算偏差指标，构建风险画像以识别安全薄弱环节。该系统支持多源数据适配、全息画像和策略配置等功能，适用于政务、企服等场景，帮助提升安全管理效率。