Data is an asset, but without security, it becomes a liability. Efforts to protect data, by technology and by regulations have found a mutual ground in masking, a technique used to hide the information on the go. As a result, global regulations have tightened their grip on breaches. GDPR is the prime example, and it’s in the news regularly.
I can point out a line-up of market stats about the industry surpassing USD 1.08 billion in the next 10 months or that leading sectors, including finance and healthcare rely on it. But that’s not the motivation here. In fact, it’s not about meeting compliance regulations only.
The bigger goal has always been and will always be ensuring the data remains usable and resilient.
But here’s the catch—not all masking tools are created equal.
Below, we break down the seven best data masking tools of 2025, exploring their strengths, key features, and real-world impact.
1. K2view Data Masking
If you ever read about micro-database tech in data fabric, then you were reading about K2view.
A powerhouse in data fabric tech, K2view is one of the most essential data masking tools for enterprises managing complex, high-volume data environments. Every micro-database only stores data about a particular business entity while the fabric maintains millions of such databases. In masking, such an architecture ensures data retains its integrity and enables organizations to be more compliance-ready.
Providing comprehensive data protection, K2view, performs dynamic and static masking with 20+ methods. At the same time, it successfully maintains referential integrity across multiple data sources ensuring data relevance in testing and in analytics.
As a full-stack fabric solution, K2view’s data masking tool integrates seamlessly with validation, replication monitoring and the governance tools. With a razor-sharp focus on scalability, the tool is a top choice for enterprises dealing with large-scale data sets. It supports on-premise, cloud and hybrid environments.
K2View has a vast portfolio of case studies that have enabled global financial institutions to score PCI-DSS and GDPR compliance. It has been proven to achieve 100% data integrity while performing real-time masking.
In 2023-2024, K2View was included as a Visionary in the Gartner Magic Quadrant. It also won the prestigious 451 Firestarter Award in 2019 and Spark Matrix Leader in 2022.
2. DATPROF – Test Data Simplified
For QA teams working in complex landscapes, DATPROF generates high-quality datasets for masking test data. The user-friendly interface automates data subsetting and masking, thereby ensuring compliance while ensuring realistic relevance for testing purposes.
Made for compliance, DATPROF adheres to HIPAA, GDPR, and PCI-DSS standards, making it a pro in handling sensitive data. It maintains referential integrity without losing functionality across masked datasets.
DATPROFD has enabled financial and healthcare organizations, cut down on time to test data preparation by 60%. That’s a massive efficiency recorded by a masking tool. Moreover, its efficiency subsetting feature lowers storage costs by 50%. With a stronghold in the European market, the tool demonstrates adherence to international standards with its ISO 27001 certification.
3. IRI FieldShield
The need for masking arose when big data surged, heightening the concerns around data privacy. IRI FieldShield is a high-performing and a pioneering masking solution for such massive environments. Trusted by various Fortune 500 companies, the tool has proven securing petabytes of data in large, multi-platform and complex system landscapes.
It is built to work with a wide range of structured and unstructured databases, ensuring compliance coherence.
As a highly scalable tool, IRIFieldShield masks large volumes of data without affecting front-end performance. Designed for big data, the tool integrates with all major repositories such as Hadoop, Teradata, Oracle and others.
Additionally, FieldShield provides both dynamic and static data masking options tailored to different data types.
4. Accutive Data Discovery & Masking
Accutive specialises in data masking for SaaS and other cloud-based products and systems. Apart from enabling enterprises to identify and safeguard confidential information across platforms, Accutive provides end-to-end compliance to tackle any regulatory enquiries.
The platform features an intuitive, centralized dashboard for monitoring compliance with sensitive data. Furthermore, it has a vast library of predefined masking rules and streaming security implementations.
Accutive has significantly improved compliance and security workflows for various financial institutions, leading to a cost reduction by 40% making it a preferred choice in regulatory-heavy sectors. It allows real-time data masking in various cloud environments such as AWS, Azure, Snowflake and others.
5. Oracle Data Masking and Subsetting
One of the largest databases of our times, Oracle hosts an ocean of global data. Exactly why, the product’s in-house Oracle Data Safe Suite offers comprehensive masking and subsetting solutions. To ensure the structural integrity of the masked data, Oracle built format-preserving masking techniques for its native Oracle Cloud as well as on-premise systems.
Like all leading masking solutions, this one too includes automated subsetting that significantly reduces the storage footprint of masked datasets.
85% of Fortune 500 companies that use Oracle database rely on its allied masking system. So, some of the world’s largest enterprises dealing with sensitive data have reduced security risks by 70% using Oracle masking.
6. Delphix
Delphix, as we know, is popular for its on-the-fly data masking automation. Also a virtualization platform, Delphix, is built for multi-cloud systems, DevOps and all teams working agile development. In parallel to masking automation, the tool fully secures the test environments and provisions datasets instantly.
Its virtualized masked environments significantly reduce storage costs. The tool also supports multi-cloud deployments, integrating with AWS, Azure, and hybrid environments.
Delphix has proven its mettle by enabling enterprises to cut test data provisioning costs by 90%! Not only has it accelerated software release cycles, butit also strengthens security and streamlined on-demand masked data environments.
7. Informatica Cloud Data Masking
The pioneer of data management, informatica’s masking provisions access to sensitive data, only to authorised users, at any particular given time. It implements on-the-fly masking without modifying the original records, similar to traditional practices. Initially designed for cloud-first environments, Informatica provides full-stack masking for multi-system landscapes such as cloud, hybrid and on-premise.
Informatica also supports role-based access controls, ensuring only authorized users can view sensitive data. As a leader in cloud-native data security, Informatica supports role-based access controls only.
Informatica Cloud Data Masking has been implemented by top technology companies, helping businesses reduce unauthorized access risks by 85%.
Future Proofing Data Security
In times of relentless cyber attacks, masking along with AI, will be the new standard. Businesses that proactively adopt advanced masking solutions won’t just meet regulations—they’ll lead the next wave of data resilience. What masking tool do you use?
