Industry Background
The global securities industry is facing the dual challenges of technological innovation and data security regulation. With the application of emerging technologies such as big data, artificial intelligence, and blockchain, the securities business is transforming digitally, expanding its service boundaries, and enhancing decision-making efficiency and trading transparency. However, data security and information protection issues are becoming increasingly prominent. Regulatory authorities in various countries demand that securities firms strengthen data security management and establish robust customer information protection mechanisms to prevent data leaks and unauthorized access. At the same time, the securities industry must also address risks associated with cross-border data flows and information disclosure. There is a continuous need to enhance data and business security regulations, increase the costs of securities violations, protect investor rights, maintain the order of the capital market, and ensure data security and compliance in the context of globalization.
Challenges
In their journey of digital transformation, securities companies have to face the following needs
- Compliance pressure increases With series of laws and regulations come into effect, securities industry needs to meet higher data protection standards.
- Insufficient data asset management Securities companies need to establish a comprehensive data asset management system to ensure data quality and security.
- Lack of audit for application system data interoperability The data interoperability between different application systems requires effective monitoring and auditing.
- Lack of unified data security architecture In response to the data breach risks, securities company needs to build a unified data security architecture.
Solutions
In response to above needs, we propose below solutions
- Data Security Governance (DSG) Based on Gartner’s DSG framework, we provide data security consultancy services to help enterprises detect and categorize sensitive data, and establish a DSG system.
- CARTA ModelAdopt the CARTA Model and leverage big data, AI, ML, and other technologies to build a self-adaptive and automated security protection platform.
- Insider Threat Protection Build a human-centric insider threat protection solution, and leverage UEBA technology to monitor and predict insider users’ behavior and intention.
Typical Scenarios
Scenario 1: data discovery and data categorization and classification solution
Leverage SkyGuard’s UCS solution to periodically scan the enterprise’s data storage paths and create a data distribution map.
Implement the capability of data categorization and classification, define the sensitive content with built-in data detection technology and formulate the security monitoring policy.
Scenario 2: Web security solution
Deploy the Advanced Secure Web Gateway (ASWG) to integrate multiple functions such as SSL traffic decryption, network DLP , and web threat protection to solve the bidirectional security problem of web access in an integrated manner.
Scenario 3: Human-centric insider threat protection system
Leverage both UCS and ITM and use behavior analysis technology to monitor and predict insider users’ behavior, making insider threat visible and predictable.
Solution Values
- Solve the challenges of data categorization and classification Enable enterprises to clearly identify data assets, determine data significance and sensitivity, and take appropriate management measures accordingly.
- Streamline process and save cost Streamline data security protection process through automation and intelligence method, so as to save the cost.
- Quickly implement data security protection Quickly respond to requirements of laws and regulations, and deploy data security protection measures in a timely manner.
- Promote business development Consider data security as a prerequisite for digital transformation and compliance as a foundation for survival, ensuring the healthy development of business.
- Establish a scientific and high-efficient DSG system Take DSG framework as basis and help enterprise establish a scientific DSG system, enhancing the level of data management and security protection.
Conclusion
SkyGuard’s solution tailored to the securities industry mainly focuses on data security needs and provides a full range of services, from data governance to technical protection. It aims to help enterprises build a safe, reliable, and compliant digital environment to ensure data security and the stable development of businesses.