Organizations utilize the data they collect to enhance their products, services, and overall user experience, as well as to support business development. To maximize the value of this data, organizations need to share it with various teams, both internal and external, for purposes such as development, testing, training, and data analytics. However, using productive data for non-productive purposes can pose risks such as the exposure of sensitive information, compromising security and compliance, and increasing the likelihood of data breaches. Without proper protection, contractors or overseas workers may gain unauthorized access to this data and distribute it across different global locations.

Quadrant Knowledge Solutions defines "Data masking" as a process that safeguards an organization's sensitive and private information by creating a structurally similar but inauthentic version of the data. This ensures that the format of the data remains similar to the original datasets, with only the values being changed and scrambled appropriately. Data masking is also referred to as data obfuscation, data anonymization, and data scrambling.

The increasingly complex data environment poses a threat to data privacy. Modern applications require multiple copies of datasets for training, testing, and development, which necessitates robust data security measures and tools to identify and classify sensitive data that may be at risk. To mitigate the risk of data breaches and unauthorized access, organizations employ data masking techniques when sharing confidential data sets with various stakeholders, including application developers and external partners like offshore testing organizations, suppliers, and customers. This masked data is then used for purposes such as user training, sales demos, or software testing.

Given the presence of security threats, it is crucial to limit the exposure of sensitive data. Additionally, various data privacy laws and standards, such as the European Union's General Data Protection Regulation (GDPR), Payment Card Industry Data Security Standard (PCI-DSS), and Health Insurance Portability and Accountability Act (HIPAA), mandate that organizations protect customers' personal and sensitive data to meet security and compliance requirements. Consequently, organizations implement various security controls at multiple stages of their production environments.

Automated data discovery and classification involve scanning data repositories and sources to identify sensitive data, classifying it as direct, indirect, or sensitive identifiers. This standardized process spans all data sources, providing enterprises with unified control and visibility into their databases. Automated computation of re-identification probability assesses the risk of an individual, consumer, or patient being identified based on contextual factors related to data release or reuse.

Download the sample report of Market Share: Data Masking

This study aims to answer several key questions:

• What is the current competitive landscape in the Data Masking market?
• What is the market share held by major vendors in this market?
• What are the key competitive dynamics in the global and regional Data Masking markets?
• Who are the leading vendors in the global and regional markets?
• Are there vendors specializing in specific industries?
• How do different vendors compare in terms of offering cloud-based versus on-premises solutions?
• What competitive factors impact the market positioning of different vendors?
• What are the relative strengths and challenges of vendors operating in this market?
• How do different vendors position themselves competitively across customer segments, from SMBs to large enterprises?

Vendors covered in this study include Axiomatics, BMC Software, Broadcom, Comforte AG, DataSunrise, Delphix, EPI-USE Labs, IBM, Imperva, Informatica, K2View, Mage, Micro Focus, Microsoft, NextLabs, Oracle, PKWARE, IQVIA's Privacy Analytics, Privitar, Protegrity, Redgate Software, SAP, SecuPi, Solix Technologies, and Thales Cloud Security.

About Us: Quadrant Knowledge Solutions is a global advisory and consulting firm focused on helping clients in achieving business transformation goals with Strategic Business, and Growth Advisory Services. At Quadrant Knowledge Solutions, our vision is to become an integral part of our client’s business as a strategic knowledge partner.

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