K2view Data Masking

What K2view Data Masking is

K2view Data Masking prepares sensitive data for software testing, analytics, business-to-business sharing, and AI workloads. It masks structured and unstructured data, whether at rest or in flight, and can apply protections at the business-entity level while preserving relationships and referential integrity across systems. The platform scans metadata and data content to discover and classify sensitive information. Organizations can set policies in a centralized data catalog and enforce them across connected sources.

Masking options include built-in functions, custom logic, pseudonymization, and tokenization for reversible masking. The product connects to relational and NoSQL databases, SaaS applications, mainframes, message queues, and files. Data delivery options include bulk ETL, virtualization, streaming, log-based change data capture, message-based integration, and APIs. It supports hybrid, multi-cloud, and inter-cloud use cases across cloud and on-premise environments, as well as data subsetting and synthetic data. Access controls include role-based and attribute-based controls. K2view states compliance with GDPR, CCPA, FIPS 140-2, and SOC 2 Type 2, and assigns each customer a dedicated Customer Success Engineer. A listed SaaS offer costs $120,000 a year, billed annually under a 12-month contract; usage overages and AWS infrastructure may add costs.

Who it suits

K2view Data Masking suits enterprises preparing compliant data for testing, analytics, B2B sharing, or AI. It is designed for teams working across complex enterprise data sources and cloud and on-premise environments.

Limits

The listed SaaS offer is billed annually under a 12-month contract, with usage-based overages and possible additional AWS infrastructure costs. Customer orders may cap nodes, cores, storage, data sources, concurrent users, and other measures.

Getting started

1. Visit https://www.k2view.com/data-masking/.
2. Review the SaaS offer priced at $120,000 a year, billed annually.
3. Arrange a custom offer and confirm order limits, overages, and any AWS infrastructure costs.
4. Choose a deployment approach across cloud and on-premise environments.
5. Connect the relevant data sources and define masking policies in the centralized catalog.
6. Select data delivery methods and configure access controls.

Verdict

Choose K2view Data Masking if your enterprise needs to prepare sensitive data across complex sources while preserving entity relationships and supporting multiple delivery methods. The listed SaaS offer carries a 12-month commitment, usage-based overages, and possible additional AWS infrastructure costs.