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.

Stores definitions of the data elements and their relationships (metadata) and how they are retrieved for the user

Collect and maintain structured information that describes data or content

Create, design and manage workflows for repetitive tasks

Track and manage adherence to policies for any service, product, process, or supplier

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

Set up connections to third-party platforms to improve business processes

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

Graphical representation of data

Interact with data visualization elements, such as charts and graphs, to drill down into data

Allows users to manage data from a number of sources

Identify sensitive or personal information collected from users

Import and export data to and from software applications

Review data from past periods to reveal recurring tendencies and predict future performance

Translate EDI formats into data suitable for use with company applications.

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Search and filter data across systems to locate required information by entering keywords or certain criteria

Public or private sharing of digital files such as documents, audio/video, images, and more

Application programming interface that allows for integration with other systems/databases

Alter the layout and content of reports

Creation and customization of dashboards

Form predictions based on past and present data/trends

View and track pertinent metrics to find patterns and gain insights from data

Use AI to generate content in the form of text, images, videos, etc.

Access, combine, transform, and store data without the help of an IT department

Connect to big data sources

Track the management and flow of data throughout the organization

Define levels of authorization for access to specific files or systems

Automatically retrieve and pull information from documents, websites, images, data sets, and other sources

Track and document all activities across devices, networks, and other systems

Removes data that is incomplete, inaccurate, or irrelevant from a dataset

Assemble applications and processes by dragging over and arranging pre-built components

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

Share pre-configured sets of data organized and presented in a specific manner with the organization

Synchronizing data between two or more devices/systems and automatically updating changes to maintain consistency

Examine large amounts of data to uncover hidden patterns, correlations, and other insights

One-off queries made on an as-needed basis

Conceptual model of how data items relate to each other

Software program that continuously adjusts its behavior based on observed data

Leave comments and notes on documents for others to view

Route documents and other data through one or more stakeholders for review and approval

Assemble applications and processes by dragging over and arranging pre-built components

Create, manage and track all task activities and progression

Use AI to generate content in the form of text, images, videos, etc.

Create, plan, track, organize, and store test cases to ensure that quality and workability requirements are met

Systematic evaluation of various aspects of a project or service to prevent defects or issues

Process of identifying, evaluating, mitigating, addressing and reporting on potential risks or uncertainties

Define levels of authorization for access to specific files or systems

Pre-written scripts that simulate situations within each test

Sample files or documents that could be customized as needed or used as is

Customize data fields to support various needs and use cases

Import and export data to and from software applications

Provides a channel for team members to share media files, communicate, and work together

A record of all activities within the system, including user access, changes made, etc.

Record and follow the progress of every issue

Execution of software tests by leveraging automation tools

Track and document the history, application, or location of an item or activity

Arrange tasks based on the level of priority or urgency

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

Allow users to access multiple services after entering their login credentials once

Monitor task progress and planned accomplishments to better manage project status

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

View and track pertinent metrics to find patterns and gain insights from data

Review, track, and manage various types of local and remote repositories

Supports multiple types of tests such as exploratory, behavior-driven development (BDD), and more.

Enables creation, management, and tracking of product requirements & features during product production/development

Allows developers to run the same test over and over again using different values

Process of tracking logged defects (errors) in a product or service to create new versions to fix the error

Save a screenshot of your desktop as an image

Supports both stdio and Streamable HTTP transports for connecting to MCP servers.

Hosts and runs MCP servers in a managed production environment.

Operates a searchable registry or marketplace for discovering available MCP servers.

Logs and audits tool invocations made through MCP for compliance and observability.

Enforces governance policies such as rate limits, allowlists, or data masking on tool calls.

Authenticates MCP connections using OAuth or other secure methods.

Provides inspector or schema-validation tools to test MCP servers before deployment.

Provides pre-built templates and boilerplate that reduce setup time for a first MCP server.

Provides SDKs or code generators to scaffold new MCP servers in supported languages.