How a Prominent Bank Secures Sensitive Data and Simplifies Audits with DDR

About

This well-known bank is one of the four major banks in China in the Guangdong-Hong Kong-Macao Greater Bay Area, relying on the group's globalization and comprehensive advantages to provide diversified financial services to enterprises and individuals in the region. The branch is deeply involved in cross-border finance, scientific and technological innovation and the construction of free trade zones, and is committed to helping Shenzhen build an international financial center and an open economic highland.

Terminal type: Windows + Kirin + UnionTech

Key functions: Through the file governance function, a list of sensitive files is formed, and users are notified to handle it, making it easy to face audit inspections.

Protect data: a large amount of customer personal data, transaction data

Project features: Distributed deployment, 3-terminal support

Challenge for This Banking Data Security Issues

The well-known bank is facing serious data security challenges. To protect sensitive information such as customer data, transaction records, confidential internal statements, and proprietary financial models, banks urgently need to reduce insider risk and the threat posed by external cyberattacks. Banks must also comply with stringent regulatory requirements specific to the financial industry, such as the Payment Card Industry Data Security Standard (PCI DSS). Therefore, banks urgently need a solution that provides robust data protection while ensuring that complex compliance requirements are met smoothly.

Compliance and audit pressure: Banks must not only be inspected by central banks and the China Banking and Insurance Regulatory Commission but also meet compliance requirements specific to the financial industry, such as international standards such as PCI DSS. Information security officers need to ensure that data storage, transmission, and access control comply with complex regulatory frameworks, otherwise they face penalties and reputational risks.

Distribution and difficulty of identifying sensitive data: Customer data, transaction records, internal reports, and financial models are scattered across various terminals and systems, making it difficult for information security personnel to detect "dark data" in a timely manner, increasing the possibility of being attacked or leaked in violation of regulations.

Insider threat prevention and control: Tellers, wealth managers, or R&D personnel have extensive access to data, and if it is maliciously stolen or leaked due to misoperation, it will directly endanger customer privacy and financial asset security.

External cyber attack risk: In the face of complex hacker attacks and APTs (Advanced Persistent Threats), such as intrusion into systems through phishing emails or vulnerabilities, security personnel must defend against business without interruption.

Third-party and interface risks: Banks frequently interconnect with payment and clearing, credit investigation, and cooperative institutions, and the interface traffic is complex, which can easily become a breakthrough point if security control is insufficient.

Difficulty of traceability and response: Once data leakage, it is necessary to quickly trace the leakage channel and responsible person, but the cross-system and cross-departmental data links are complex, and the traceability process is often slow, affecting the emergency response effect.

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Secure Banking Data with CyberServal Next-Gen DLP

As a Next-Gen data security, CyberServal data loss prevention provides banks with an efficient, compliant, and user-aware endpoint data security solution through its powerful file governance function (i.e., asset scanning) module, especially in response to the pressure of international financial regulatory standards such as central banks, the China Banking and Insurance Regulatory Commission, and even PCI DSS, which banks must comply with.

Sensitive data asset discovery

A large amount of customer personal information data and transaction data are commonly found in bank terminals, which are distributed in all corners of employees' computers, forming "dark data" that is difficult to manage. The file governance function of CyberServal Next-Gen DLP (DDR) first performs a full-disk asset scan to map the data stored on the end device without the user's awareness.

This function can accurately identify and sort out sensitive personal information, including mobile phone numbers, bank card numbers, ID numbers, etc. CyberServal Next-Gen DLP (DDR) uses multi-dimensional data recognition engines (such as keywords, fingerprints, AI LLMs, etc.) to provide content insights into unstructured data and form a map of data assets within the enterprise. This allows security personnel to clearly understand the distribution of sensitive data from a business perspective, which is the basis of data security management.

Form a list and take the initiative to comply with the situation

After completing the scan, the CyberServal Next-Gen DLP (DDR) system automatically compiles a list of identified sensitive files. The key is that DDR supports notifying users of these file manifests for processing.

Bank administrators can configure policies that require users to isolate non-compliant files (e.g., customer privacy files that should not be stored locally), delete or request whitelisted self-remediation remote extraction for analysis and backup, or remotely delete sensitive non-compliant files.

Easily respond to surprise audit inspections

The ultimate goal of document governance is to help banks "face audit checks with ease".

Proactive Risk Management: Through regular scanning and user self-healing mechanisms, CyberServal Next-Gen DLP (DDR) helps banks dispose of sensitive files on terminals before surprise inspections. This addresses compliance risks and reputational risks caused by employees storing sensitive data violatedly.

Enforced Compliance: CyberServal Next-Gen DLP (DDR) supports the implementation of automated processes to remove files stored non-compliantly on terminals, preventing unauthorized storage of sensitive information.

Audit Trail: CyberServal Next-Gen DLP (DDR) provides detailed reporting and audit trail capabilities, helping banks maintain detailed records of data access, usage, and compliance activities. This makes it easy for banks to demonstrate to external auditors and regulators that their data handling practices comply with regulatory requirements.

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CyberServal DDR provides banks with comprehensive data security guarantees, from customer information, transaction records to financial models, enabling intelligent identification, classification and classification, and full-link tracking. By dynamically monitoring high-privilege operations, terminal security control, and browser leak prevention through UEBA, DDR not only reduces the risk of internal threats and external attacks, but also helps banks easily meet regulatory and audit requirements. Book a demo or download the white paper today to learn how DDR can be integrated into your bank's security strategy to protect sensitive data.