Data of all types and sensitivity levels continue to be stored, used, shared all over the world, both inside and outside the company’s secure facilities. 

Data443 and Titus are two popular names when it comes to data classification.

This article aims to provide a comprehensive overview of the strengths, strategies, and unique features of Data443 and Titus. It will also provide details on their contributions to the data security field.

Factors to Consider When Choosing Between Data Classification Providers

Several crucial factors must be considered to make an informed choice between providers such as Data443 and Titus.

1. Assess the specific needs of your organization: Understand the nature of the data you handle, compliance requirements, and potential threats to customize your selection accordingly.
2. Scalability: As your business evolves, so should your data security measures. Opt for a solution that can easily grow with your organization. It should be able to accommodate increasing data volumes and evolving security challenges.
3. Integration capabilities: Ensure that the chosen platform can connect with your existing infrastructure, minimizing disruptions and simplifying implementation.  Wide industry support is crucial.
4. Compliance with industry regulations: The selected platform should align with the relevant data protection standards and offer features that facilitate compliance, mitigating legal risks.
5. Cost-effectiveness, user-friendliness, and the level of ongoing support provided by the vendors are additional factors that should be considered in your decision-making process. 

By carefully evaluating these aspects, organizations can make an informed choice that aligns with their unique requirements and sets a reliable foundation for data security.

Data443 Risk Mitigation Inc.

Company Overview

Data443 Risk Mitigation Inc. is a leader in data security and privacy management. From advanced data classification and encryption technologies to compliance management solutions, Data443 addresses the diverse challenges associated with data security. 

Data443 covers wide feature requirements for data security as well as efficiency. Some of these products include Ransomware Recovery Manager, Data Identification Manager, Data Placement Manager, Global Privacy Manager™, Sensitive Content Manager™, Access Control Manager™, and Antivirus Protection Manager™, However, the product in the spotlight today is the Data Identification Manager.

The Data Identification Manager

Data443’s Data Identification Manager (DIM) revolutionizes data classification by integrating consistent rules, advanced technology, and machine learning across organizational IT infrastructures. It offers archiving capabilities with free OCR technology to support privacy request management. DIM stands out with its adaptability, featuring over 1,300 country-specific and 40+ language Smart RuleSets, while also allowing synchronization of business-specific definitions from CRM, inventory, or project databases. 

The incorporation of machine learning, complemented by initial training, improves classification precision, with optional features such as end-user validation, classification stewardship, and notifications providing additional flexibility.

Key Features

Some of the features provided by Data443’s Data Identification Manager are elaborated below.

• Smart RuleSets

With an extensive library of over 1,300 country-specific and 40+ language Smart RuleSets, DIM provides a granular and precise framework for data classification. This feature enables organizations to align their data classifications with regional requirements, increasing compliance and data management efficiency. See the whole list here:

• Business-Specific Definitions

DIM facilitates customized data classification by syncing business-specific definitions from Customer Relationship Management , inventory systems, or project databases. This synchronization ensures that data classifications align easily with the unique context and requirements of each organization.

• Machine Learning Integration

The integration of machine learning in DIM, coupled with initial supplied training, contributes to ongoing accuracy in data classification. This adaptive capability allows the system to develop along with your system and improve its classification precision over time.

• Dynamic Data Classification

DIM automatically classifies, tags, and labels files based on predefined rules. This dynamic classification process eliminates manual intervention, ensuring efficiency and consistency in handling diverse data types.

• Seamless Data Migration

DIM includes a built-in, high-scale migration platform with sophisticated data rules. This ensures an error-free and controlled data migration process, minimizing disruptions and maintaining data integrity.

• Email, File and user home drive archiving

DIM efficiently manages the archiving of various email datasets, including Microsoft OneDrive, SharePoint, and Google Workspace. This feature simplifies email data management, assuring compliance and accessibility.

• Cloud-Deployed

DIM offers the flexibility of cloud deployment with a one-day setup. It serves as an immutable journaling source for G Suite, Exchange, Hybrid Exchange, and O365 deployments, guaranteeing secure and efficient deployment options.

Pros

1. Supports on-premise deployment, providing flexibility.
2. Provides a unified approach for deployment – working just as well in the cloud as on premise
3. Machine Learning integration with trainable ML libraries, thus in turn feeds our LLMs
4. Discovery and defensible disposition capabilities ensure efficient identification and secure disposal of data.
5. Enhanced connectivity features contribute to smoothly integrating within the existing infrastructure.
6. API support facilitates smooth integration with other systems and applications.
7. Audit trails provide a comprehensive record of system activities for accountability and compliance.
8. The platform includes an email archiving option, simplifying the management of various email datasets, ensuring compliance, and facilitating accessibility.

Pricing

Data Identification Manager offers a free trial of up to 30 days. If you decide to continue using it, you can select one out of three packages. 

• Identification Manager for Small businesses is $225 on a monthly basis with a $500 setup fee.
• Identification Manager for Medium businesses is $1050 on a monthly basis with a $500 setup fee.
• Identification Manager for Large businesses is $1950 on a monthly basis with a $500 setup fee.

Titus(Fortra)

Company Overview

Titus provides data protection solutions to help comply with regulations by finding, organizing, sharing, protecting, and analyzing data. Titus was acquired by Fortra in 2020 and they now act as a single company.  Fortra is a holding company that combines a group of cybersecurity products and services into one portfolio.  The product we will be talking about today is the Data Classification Suite.

Data Classification Suite

Fortra’s Data Classification Suite, formerly known as Titus, provides reliable data management and protection solutions. Distinguished by its adaptability, DCS equips organizations with the industry’s most flexible and customizable classification metadata schema. It also offers unparalleled control over data management. 

Fortra’s Data Classification Suite ensures that both human users and automated systems comprehend how to appropriately handle and safeguard critical information. 

Key Features 

This product comes with its own set of bells and whistles. Some of them are explained below.

• Automated Data Location:

Fortra’s Data Classification Suite excels in automating the identification and location of sensitive data, streamlining compliance efforts with international data privacy laws. This feature ensures organizations can efficiently track and manage their sensitive information in accordance with evolving regulatory requirements.

• Data Detection Engine 

The Data Detection Engine in DCS recognizes and manages Personally Identifiable Information at the beginning of emails and files by utilizing machine learning. This proactive approach minimizes the risk of data breaches and ensures compliance with data protection standards.

• Intelligent Content Categorization

DCS Intelligent Protection uses Machine Learning for content categorization, improving the precision and efficiency of data classification. This makes sure that organizations can effectively manage and protect their data based on its inherent characteristics.

• Classification and Secure Collaboration

The suite is able to easily integrate data classification and encryption, providing organizations with a flexible data protection solution. This integrated approach facilitates secure collaboration, allowing users to share sensitive information confidently.

• Real-World Information Delivery

The suite facilitates accurate data loss prevention by delivering real-world information, ensuring that the classification and protection measures are aligned with practical scenarios and potential threats.

• Using Metadata 

The Data Classification Suite uses metadata across the security ecosystem, increasing accuracy in existing data protection tools. This interoperability ensures that organizations can maximize the value of metadata in reinforcing their overall data protection strategy.

• Business Decision Support

The suite goes beyond security measures to provide business decision support by offering visibility into challenge areas, categorized by group or region. The details provided here enable organizations to make informed decisions and proactively address potential vulnerabilities.

Pros

1. Dedicated data detection engine for precise identification.
2. Data at Rest Protection for security even when not actively in use.
3. Intelligent Content Categorization enhances efficiency in data classification.
4. Supports both classification and secure collaboration for confident information sharing.
5. Leveraging metadata to enhance accuracy in data protection tools.
6. Automated data location simplifies compliance efforts.
7. Flexible Classification Metadata Schema adapts to diverse organizational needs.
8. Ensures real-world information delivery.
9. Real-time monitoring capabilities.

Cons

1. No free trial.
2. Lacks features like Smart RuleSets, Business-Specific Definitions, Trainable ML Libraries, etc.
3. Lack of API support.
4. No support for batch and CDC.
5. Limited support for smart labels.

Pricing 

Potential users have the opportunity to experience the software first-hand by requesting a personalized Live Demo. The actual pricing for the software is customized based on individual requirements. Interested parties need to request a quotation. For the Titus Classification product, including its desktop application, the starting price is $51 per user. 

Conclusion

When comparing Data443 Risk Mitigation Inc.’s Data Identification Manager and Titus (Fortra), it’s evident that Data443 offers a more versatile and customizable solution. The Data Identification Manager stands out with its Smart RuleSets, offering over 1,300 country-specific and 40+ language options, and its machine learning integration that evolves with your system. 

Its adaptability to business-specific definitions and dynamic data classification ensures a more tailored and efficient approach to data security. Moreover, its comprehensive features like seamless data migration, cloud deployment, and robust email archiving system are suitable for a wide range of organizational needs. 

These aspects, combined with its cost-effective pricing and positive user reviews, make Data443’s Data Identification Manager a more favorable choice for organizations seeking a comprehensive and flexible data security solution.