数据安全治理与实践白皮书.pdf

数据安全治理与实践白皮书?CONTENTS目录?!?!?!?!?!?!?!?!?!?!?!?!?!?!?!?!?!?!#$?$%&#?FOREWORD前言?!#$%&()*+!#$%&!()*+,-./0123456!(789:7;?ABCDE3#$FG%HIJKLM3NOPQRSTU!V7WXV7=VYZ.!_0ab6cdefg+h!ijklm3nopA%&!#$7qrstQuvwx!yz|7Cij!V?I63!eQ+,p-./03%&!#$7A%&!(.3!()*,0 3 ee7 Q%!eQ U 03!eQC3!(I63C!#$77V7FG7H3 V!-I!)*6x3“V!V%&Q”Qu0e3!()*x+,p!)*fi./03 x3!()*3CU!(Ykl.!#$AR%&./0!()*I045!(YHy.K3!()*+D345e;Q!()*U!()*3!()*Q)*Ie.pC!03PQ7z#%!()*k$35x%&./3+D!()*x0!#$%&()*+*,-./Q”!()*()*!+,0-.3/0+,p12374#!()*5678 3 9:;!()*?0.A 3 6BCDEFC!()*GeHI!()*!()*ijJ%K.L3M+,pNOP!Q3RS92+7?TUI045Q”!()*VW%&3 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查，风险评估，风险治理，持续运营 4 个部分：图 6：数据安全治理流程体系 3.3.1.3.3.1.资产清查资产清查 数据资产清查使用自动化的工具和人工调研的方式，梳理出敏感资产的分布，以及资产归属部门等信息，通过人工审核确认形成最终的数据资产列表，流程如下：l 敏感数据定义：确定该行业相关的法律法规，标准规范要求，定义具体数据的分类（例如：个人信息，账户信息）和分级（例如：高中低）。l 数据资产梳理：该阶段通过对业务数据的资产调研，明确数据资产的范围、资产数据类型，归属行业，应用场景。l 数据分类：通过自动化工具/平台完成接入数据源的识别和分类处理。l 数据分级：通过自动化工具/平台完成接入数据源的识别和分级处理。l 审核：基于自动化工具/平台完成对数据资产的分类分级和分级的结果，通过人工抽样的方式，对识别结果进行确认，对于误报/漏报的分类分级结果进行修正，包含对识别规则进行调整等。l 更新管理：根据数据重要程度和可能造成的危害程度变化，对数据分类分级规则、重要数据和核心数据目录、数据分类分级清单和标识等进行动态更新管理。3.3.2.3.3.2.风险评估风险评估 (1)(1)评估评估准备准备 l 明确评估目标：根据法律法规的要求，对评估的目标，需要明确资产种类，规模，部署环境等，梳理数据处理活动，发现可能存在的安全风险。!#!uKpv.(.Kp?3u!()*noKp“7v0!dKpy.(Kpv3zK3z/dz!()*noKpy3y|Rt!(;3)*;333%3?0!mKpsmk1NOVs?0!tuKp:StuKp:SRtKp”Kp:3Kpydes3KpZ.”?0!Kp!no4!()*noKpe3U9deno3zno3L)*no3:no3no LF”4!znoznoze3O”nn)*56no3RfinoR 9/;rXYGH/9no+!Q*+no78!$v!L)*noL)*noIJLe3IJ-93“:,?3!(3IJ;8?(“:,L-9noL-9-956!(=8!(no56fl!(-9AB&TIJnoCDE-9FGHI!:no:JKC!(eyHno3RfinoR L/uvwGH/!(:Lno:LM4N8e$O!noN;Yno3RfinoR 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