2 Typical data security scenarios data security risk points

1 Data lifecycle risk

(1) Data is encrypted during transmission using the https protocol, but plaintext storage is used in the database, making it highly likely that data will be stolen from the database.

(2) In the process of data storage, important sensitive data are encrypted for storage, but if there is the ability to provide data, it may exist the risk of plaintext storage when transmitted to another system.

The 'bucket theory' of network security also applies to data security; the absence of a piece of content can lead to the failure of comprehensive protection.

2 Typical data security scenarios data security risk points

The data security risk points shared in this session are based on the above security environment scenarios, and the order of risk points is introduced according to the order of project implementation. Customers may not understand security, but they understand business and logic. Transform complex technical issues into simple analogies.

We can never train customers to become security experts, but we can make security a business, and let customers become business experts

2.1 Risk 1: The ability to update asset information needs to be improved, and the core data identification ability needs to be enhanced

(1) Insufficient dynamic updates

Current situation:The data asset management system cannot be updated in real time, leading to a lack of timely understanding of newly added or changed assets. This lag in information processing affects the enterprise's grasp of the current asset status, thereby affecting the accuracy of decision-making. Due to the lack of the latest data, risk assessment and control also become difficult, which may lead to the timely discovery and handling of potential threats.

Result:Security vulnerabilities brought by certain newly added devices or software have not been identified and remedied in time, increasing the risk of network attacks.

(2) Inaccurate data identification

Current situation:The enterprise's identification of its important core data is not accurate enough, leading to inadequate protection measures. This imprecise identification can lead to vulnerabilities in the protection of key data, thereby increasing the risk of data leakage.

Result:If the enterprise fails to accurately identify and classify its sensitive data, such as customer information, financial data, or intellectual property rights, there will be blind spots in the formulation and implementation of data protection strategies and technical measures.

2.2 Risk 2: Data audit coverage is insufficient, and processing capacity is not enough to cover business needs

(1) Inadequate audit coverage

Current situation:The scope of database auditing is not comprehensive enough, and it does not cover all important databases, resulting in key operations and abnormal behaviors not being detected, such as data addition, deletion, modification, and query, and permission changes, which may not be within the scope of the audit monitoring.

Result:A database that is not covered by the audit has experienced data leakage or unauthorized access, which cannot be quickly identified and responded to, increasing the risk of data loss and security.

(2) Inadequate processing performance [just coping with it]

Current situation:The audit system has poor processing performance, and it is prone to missing audits when faced with a large amount of data. It is unable to respond to and handle security incidents in a timely manner. With the growth of enterprise data volume, the audit system needs to process and analyze more logs and operation records. If the processing capacity of the audit system is insufficient, it may not be able to handle in a timely manner during peak periods or when faced with massive data, resulting in missing audits.

Result:When a large number of users access the database simultaneously or perform large-scale data migration, the audit system may not keep up, resulting in some key operations not being recorded or analyzed. It is difficult to fully understand the activity status of its database and to timely detect and respond to security incidents. Poor performance may also slow down the response speed of the audit system, affecting the enterprise's ability to respond quickly to and handle security incidents, thereby increasing the security risk.

2.3 Risk 3: API interface lacks unified security management, and there is a risk of data leakage

(1) Inadequate authentication and authorization:Relying solely on simple API keys for authentication, which is easily obtained and exploited by attackers.

(2) Inadequate data encryption:During data transmission, if there are insufficient encryption measures, data may be intercepted and tampered with during transmission.

(3) Inadequate input validation:Lack of strict input validation mechanisms may make API interfaces vulnerable to injection attacks (such as SQL injection, XSS, etc.).

(4) Over-exposure of information:Some API interfaces may return too much detailed information, including error messages, system