At present, insurance is also a high incidence of information leakage industry, once the information is tampered with or leaked, not only to the detriment of the citizen's own interests, the insurance company's brand image, and even affect the public **** order and national interests.

I. Challenges to insurance data security

1. Huge amount of financial data, data and information are not strictly categorized and graded;

2. Much sensitive information is stored in a decentralized manner, and the protection mechanism of sensitive data is not perfect;

3. Insufficient security awareness of business personnel, misoperation of business systems, malicious operation, and abuse of authority. malicious operation, permission abuse and other behaviors can not be effectively regulated;

4, data **** enjoyment, lack of effective protection in the process of data use, the leakage of private information;

5, the state's regulatory and compliance requirements for the industry.

Two, Kai Kai Technology data security governance solutions for the financial industry

Aiming at the above data security challenges, Kai Kai Kai Technology has a data security governance solution for the financial industry, which is based on a combination of management (system) plus technology and technology, and gradually realizes the organization's strategic goals. .

Based on the principles related to data security governance, with "precise and visible, safe and controllable" as the premise:

1. Data security comprehensive governance platform as the command and control center.

2, through with data grooming and assessment capabilities (atomic capabilities including: data governance asset grooming, data classification), data behavior monitoring and auditing capabilities (atomic capabilities including: database auditing, big data auditing, security operations and maintenance auditing, big data offline analysis system), data security protection capabilities (atomic capabilities including: database), data security protection capabilities (atomic capabilities including: data security, data security, data security, data security, data security, data security, data security, data security), data security, data security, data security, data security, data security, data security, data security, data security and data security. Firewall, data desensitization, data watermarking) between the three major capabilities system to achieve unified control, data collection, policy issuance, joint prevention and control, situational assessment and prediction, etc. , the internal capabilities of the unit module through the internal data API interface for the ability to synergize with external systems through the external API interface for the ability to synergize with external systems and the overall situational awareness of the data security, from the front → in the event → after the fact Multi-dimensional completion of the security protection of the entire life cycle of data.

Third, the value embodiment

1, sensitive data security protection: dangerous attack discovery and real-time blocking, efficient desensitization, anti-leakage, traceability, location and forensics.

2. Comprehensive real-time monitoring of operations: comprehensive big data auditing, precise positioning, built-in AI models and combination of rules to effectively detect APT attacks, SQL injection attacks, etc..

3. Privileged account protection: Effective monitoring and auditing of technical development and operation and maintenance of various operations of privileged personnel on the database, high-risk operation blocking.

4, comprehensive audit, real-time alerts: e-mail, SMS, syslog and other means of real-time alerts.

5, internal personnel special operations monitoring: for internal personnel to modify the 'special' account or set up a hidden button for the problem, the record of hidden data, and directly locate the specific operator and the content of the tool.

6, to meet compliance requirements