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"Xiaodeng in operation and maintenance" meets the compliance requirements of gdpr
2022-07-07 07:11:00
【There is Xiao Deng in operation and GDPR On 2018 year 5 month 25 Take effect , It marks a welcome change in how companies deal with personal digital privacy . In less than a year , Enterprises are reforming their data privacy policies and security strategies , To satisfy GDPR Strict requirements . After all , This compliance authorization is in all its different stages ( static , During use and transportation ) Manage the security of personal data . It also outlines that businesses must obtain clear consent before collecting personal data , And insist that enterprises take technical measures : Use EventLog Analyzer accord with GDPR The requirements of EventLog Analyzer It is our comprehensive log management and audit solution , It can help your enterprise easily meet GDPR Data security requirements for . When it comes to GDPR When detecting and responding to requests for vulnerabilities ,EventLog Analyzer It has the report and search functions you need . By predefined GDPR Report template ,EventLog Analyzer It can help security administrators and data protection personnel audit all activities that occur on the system that stores personal data and changes to personal data itself . It can also help your enterprise submit audit reports to regulators . EventLog Analyzer Review personal data access and user activity Usually , Personal data ( For example, name , E-mail address , Contact information, etc ) Stored in the database for easy access and processing . To ensure the safe storage and handling of this confidential data , You need to review all operations involving personal data , Including user access . EventLog Analyzer Using predefined report templates makes approval easier , Provide the following information : Auditing and tracking the above security incidents will help you find any abnormal conditions as soon as possible , So as to quickly alleviate violations . Use EventLog Analyzer Quickly detect and fix vulnerabilities About detecting and reporting data leakage events GDPR requirement - “' Without undue delay , Without knowing it , No later than 72 Notify the supervisory authority of personal data leakage after hours ” - Reiterating this fact is not always possible to prevent data leaks . When they do happen , What is needed is timely detection and response . EventLog Analyzer Data leakage and attack can be detected immediately through real-time correlation engine and event response system .EventLog Analyzer have 20 A variety of predefined association rules , Can identify any form of attack , Including ransomware , Denial of service (DoS), Powerful attack ,SQL Injection, etc . Bug repair Predefined association rules for detection EventLog Analyzer It also includes a custom association rule builder , It can help you create rules to detect specific attack patterns , And notify you in real time when complex attacks occur .EventLog Analyzer The custom script option of can automatically perform violation repair . Besides ,EventLog Analyzer Our correlation engine also integrates its built-in event management system ( Be able to improve the ticket in the help desk console of each detected event ), Increased responsibility for incident resolution . Conduct forensic analysis and generate accident reports GDPR It outlines that enterprises handling or processing personal data should conduct appropriate event analysis after data leakage , And provide information about the impact of the violation . EventLog Analyzer Help you meet this requirement through its high-speed log search engine , The search engine can effectively conduct forensic analysis , And drill down to the exact log entries that contain information about data breaches . It also provides out of the box reports , Highlight things like who made what changes to personal data , When and where to make changes . These details help to determine the impact of violations and their possible consequences , And help reduce similar types of violations in the future . 版权声明GDPR
Event management system
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