K2view Data Masking

What K2view Data Masking is

K2view Data Masking helps enterprises create masked data for testing, analytics, B2B sharing, and AI workloads. It can mask structured and unstructured data in motion or at rest, applying protections at the business-entity level while maintaining structure, relationships, and referential integrity across systems. The software scans metadata and data content to discover and classify sensitive information, then lets organizations define policies centrally and apply them across data sources. Masking options include built-in functions, custom logic, pseudonymization, and tokenization for reversible masking. It connects to relational and NoSQL databases, SaaS apps, mainframes, message queues, and files, with delivery through ETL, virtualization, streaming, change capture, messages, or APIs. Deployment supports hybrid, multi-cloud, and inter-cloud environments. Pricing is available on request; a listed SaaS offer is $120,000 USD per year, billed annually, with a 12-month contract, usage-based overages, and possible additional AWS infrastructure costs. Orders may also limit nodes, cores, storage, sources, concurrent users, and other measures.