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What is Titus Classification Suite?

Addressing the requirements of emerging global data privacy laws is essential for maintaining strong cybersecurity, and the first step in creating a successful data protection strategy is to implement data classification. The Titus Classification suite provides essential tools that deliver clear instructions to both staff and regulatory bodies on which data needs protection and the correct handling procedures. This suite allows for the management and safeguarding of data through the industry's most flexible and customizable classification metadata schema. By providing context to your data, it helps both individuals and automated systems to understand how the information should be treated. It serves as a mechanism for classification and policy enforcement, ensuring that each Microsoft Office document is classified correctly before it can be saved, printed, or sent via email. Furthermore, every outgoing email must be assigned a classification and protective marking prior to being sent out. With just a few clicks in Microsoft Windows Explorer, users can classify and secure any file type, greatly improving the security posture of your organization. This efficient approach not only aids in compliance but also promotes a culture of data awareness and accountability among all employees, ultimately contributing to a more secure organizational environment. By empowering staff to take an active role in data protection, organizations can foster greater diligence in handling sensitive information.

What is RUZIVO?

Segmentation is a method utilized in Print and Broadcast Media that has historically depended on manual techniques. RUZIVO has revolutionized this approach by implementing automation through Machine Learning, which not only improves accuracy but also greatly decreases both time and costs. The Segmentation process established by RUZIVO consists of pinpointing the start and end indicators of radio clips and images meant for Broadcast and Print. During this stage, it is determined if the content—whether it’s an image, video, audio clip, or email—meets the criteria to be classified as an advertisement. After being categorized as either Ads or non-Ads, various media formats are then compared with a database to ascertain if they are fresh content or duplicates. This particular step is essential, as duplicates are documented while new Ads are organized into categories according to industry, type, and any specific criteria set by clients. The automation of the Classification process by RUZIVO has markedly sped up the time it takes for clients to become aware of new advertisements in their selected categories, leading to a more efficient workflow. As a result, clients can now react more promptly to evolving advertising trends and shifts in their respective markets, ultimately enhancing their strategic decision-making. Additionally, this streamlined method empowers clients to remain competitive and agile in a rapidly changing media landscape.

Media

Media

Integrations Supported

DatAnswers
Dataguise
GTB Technologies DLP
Ionic Machina
Microsoft 365
OctoXLabs
Varonis Data Security Platform
beSOURCE

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

Windows
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Online Training

Company Facts

Organization Name

Fortra

Date Founded

1982

Company Location

United States

Company Website

www.titus.com/products/data-classification-suite

Company Facts

Organization Name

Data-Core Systems

Date Founded

1988

Company Location

United States

Company Website

www.ruzivomedia.com

Categories and Features

Data Classification

Not specified

Data Discovery

Not specified

Data Management

Data Capture
Data Quality Control
Data Security

Categories and Features

Marketing Automation

Not specified

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