Fortra Data Classification Features

Tools to (re)structure data in a manner that allows extracting insights quickly and accurately

Analyzes data to find and recommend the highest value customer segmentations.

Tools to create and adjust workflows to ensure consistency.

Presents information and analytics in a digestible, intuitive, and visually appealing way.

Unveils data connected to infrastructure and applications used to help manage and maintain compliance within complex IT systems.

Supports LDAP Protocol to enable access control and governance.

As reported in 10 Fortra Data Classification reviews. Supports compliance with PII, GDPR, HIPPA, PCI, and other regulatory standards.

Based on 10 Fortra Data Classification reviews. Provides guidelines or training related to sensitive data compliance requirements,

As reported in 10 Fortra Data Classification reviews. Allows administrators to set policies for security and data governance

Monitors data quality and send alerts based on violations or misuse

Uses machine learning to identify at-risk data.

Offers data loss prevention tools to protect data from leaving the environments it is allowed to.

Curates collected data for big data analytics solutions to analyze, manipulate, and model

Facilitates the disseminating of collected big data throughout parallel computing clusters

Compile data from across all systems so that users can view relevant information easily.

Protects sensitive data by disguising or encrypting data, keeping it usable by the organization and approved parties.

Manages policies for user data access and data encryption.

Constantly monitors acivity related to user behavior and compares activity to benchmarked patterns.

Supports compliance with PII, GDPR, HIPPA, PCI, and other regulatory standards.

Includes funcationality to automatically discover and classify sensitive and other defined data.

Can protect both structured and unstructured data using automated discovery tools.

Includes encryption methods to protect data.

Protects data at rest, in transit, and in use.

Provides data masking functionality that hides specific data within a dataset based on the data's specific use policies.

Provides policies and access controls to ensure the data is only handled by permisssioned users and processes.

Includes audit and reporting functions to know exactly what actions have been taken on data, such as who has accessed it and when.

Allows for reporting and documentation of individual user behavior and privileges.

Offers tools to help administrators visualize the flow of data, whether that be processes or data flows.

Offers machine learning to locate data security risks and make recommendations on how to mitigate those risks.

Allows data to move across multiple platform types and remain protected.

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. 11 reviewers of Fortra Data Classification have provided feedback on this feature.

Based on 10 Fortra Data Classification reviews. Offers reporting functionality.

Lets users build a glossary of business terms, vocabulary and definitions across multiple tools.

Provides a built-in integrated data catalog that allows users to easily locate data across multiple sources.

Monitors and cleanses data with the help of business rules and analytical algorithms.

Based on 10 Fortra Data Classification reviews. Visualize data flows and lineage that demonstrates compliance with reports and dashboards through a single console.

Provides an automated data lineage functionality which provides visibility over the entire data movement journey from data origination to destination.

Authenticates and authorizes individuals to access the data they are allowed to see and use.

Helps identify and manage the roles of owners and stewards of data.

As reported in 10 Fortra Data Classification reviews. Helps adhere to data privacy regulations and norms.

Defines, validates, and monitors business rules to safeguard master data readiness.

Allows users to create and review data policies to make them consistent across the organization. This feature was mentioned in 10 Fortra Data Classification reviews.

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

Engages in human-like conversation for task delegation

Makes informed choices based on available data and objectives