Octopai Features

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.

Captures and manages data hierarchy and definitions.

Helps integrate external and internal reference data such as industry codes, entity identifiers, country codes etc used to categorize information across systems.

Helps understand the origination and route of data along with the transformations happening across various domains.

Provides context and information for data assets stored across domains and ensures adherence to established policies and processes.

Centralizes the management of multiple domains of master data which includes product, customer, vendor, asset, location and pricing.

Matches master data records and merges them into a single accurate record across source systems.

Shows relationships between records and entries, defined in a repository model.

Provides a simple customizable design environment to develop custom UIs using simple drag and drop actions.

Encompasses of policies, principles and qualities to promote access to accurate and certified master data.

Helps mask or hide critical information to prevent unauthorized access.

Indexes metadata descriptions for enhanced insights.

Ensures automation of metadata across the organization. Dynamically improves data management processes.

Embedded collaboration using APIs and in-app integrations.

Provides insights into original data sources and transformations made to data sets from source to consumption of data.

Provides an interface to collect and evaluate data to identfy patterns and outliers.

Constantly processes metadata to provide intelligent insights.

Provides actionable insights, and generates notifications and alerts to help teams make informed decisions.

Supports 360 degree data visibility via a single dashboard.

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