Fortune 500 Company: Covering Various Business Units
Background
A Fortune 500 enterprise, spanning multiple industries such as manufacturing,
healthcare, finance, retail, and energy, faced significant data security challenges. The
group managed a vast array of data, including proprietary manufacturing designs,
sensitive healthcare records, customer financial information, commercial secrets,
financial statements, etc. Each sector within the enterprise had unique data
classification needs and had to adhere to specific regulatory standards, including GDPR,
HIPAA, etc. The complexity of ensuring data security was heightened by the
enterprise's existing management structures, the need for cohesive coordination
across various departments, and an IT environment that included a mix of legacy systems
and modern cloud solutions. These factors compounded the difficulty of maintaining
consistent data security measures and regulatory compliance across global operations.
Solutions & Values
The solution enabled conglomerates to effectively implement unified data security
management, covering a vast and diverse range of global business units.
Efficient Data Classification and Inventory Utilizing existing classification templates along with AI and machine
learning algorithms, DDR intelligently identified and classified data assets across
departments, including shadow assets. As an upgrade to traditional survey and
interview methods, directly validating classification results with business units
significantly improved efficiency, ensuring that all sensitive data was properly
managed and protected.
Data Lineage: Accurate Data Source Tracking Compared to analyzing data sensitivity through content recognition, tracking
the origin of data is a more precise method. Prohibiting the external dissemination
of files originating from highly sensitive sources, such as an unpublished financial
statement created by the CFO or Excel files exported from the internal CRM system,
can more effectively protect company secrets.
Tailored Compliance and Control: Best Fit for Each Business Unit DDR integrated seamlessly with the enterprise's existing data management
policies and industry-specific regulatory standards, such as GDPR and HIPAA, to
create customized control rules that best fit each sector's unique
requirements.
Seamless Integration with Existing IT Systems DDR is naturally compatible with both traditional and SaaS-based IT
environments, ensuring consistent data security management across all platforms and
systems. With multi-node deployment, DDR can support the hierarchical management of
global subsidiaries. Additionally, it can be easily integrated into existing OA
systems to streamline daily approvals and notifications.