K2View Features

The ability to create fields that automatically mask data such as credit card numbers or passwords.

The ability to mask data in real time as it is entered.

The ability to apply or remove masking after data has been entered.

Tools to mask data using a consistent ruleset.

Tools to mask data using random characters and data.

Build, collect, and store all necesary software tests and test cases in one location.

Integrates with software testing tools and other development software.

Supports multiple testing types (e.g., regression, smoke) and methods (e.g., integration, performance).

Searches structured, semi-structured, and unstructured data for sensitive data.

Offers contextual search functions to understand factors such as file type, sensitivity, user type, location, and other metadata.

Has template rules and pattern matching algorithms (PII, PCI, PHI and more)

Offers the option to create custom templates and rules based on department, user type and data type.

Offers false-positive management functions

Search multiple file types (images, PDFs, etc.) and repository locations (such as on-premise databases, cloud storage, email servers, websites, etc.)

Monitors data stores in real-time searching for newly created sensitive data.

Offers a dashboard showing specific location of sensitive data.

Facilitates compliance and enables adherence to common industry regulatory standards such as GDPR, CCPA, HIPAA, PCI DSS, ISO, and others.

Offers reporting functionality.

Deliver reporting and metrics around test cases, uses, and results.

Retain previous versions of tests and test cases.

Scale to handling thousands or tests, cases, and users without loss of functionality or efficiency.

Consolidate data from various disparate sources in a single unified view

Understand the state of data, applications, systems and services

Manage data across environments (on-premises cloud, hybrid, and multi-cloud)

Provides metadata management and lineage capabilities

Supports advanced analytics solutions for better business decision making

Rules and regulations inherited from source systems or defined to secure sensitive data

Grant or restrict data access and control

Built - In Backup and Disaster Recovery

Provides users the ability to generate synthetic structured data.

Provides user the ability to generate synthetic image data.

Can provide accurate annotations for synthesized image data.

Allows user to gain insight and utility into the data.

Provides automated reports of the quality of the synthesized data.

Gives user the ability to remove sensitive data from your workflows without sacrificing data utility using techniques such as differential privacy.

Allows for the ingestion of a variety of data formats (e.g. CSV, Hadoop, etc.)

Has the ability to consume and synthesize large quantities of data effectively and efficiently.

Has capabilities for creating a completely new dataset with no actual data from original dataset.

Can synthesize part of a dataset, leaving in data which is not private or sensitive.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Anticipates needs and offers suggestions without prompting

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Makes informed choices based on available data and objectives