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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 SISA Radar?

Help organizations strengthen their data protection measures by leveraging techniques such as data discovery, file analysis, and classification. Protect your entire data landscape with the robust features of SISA Radar, which specializes in data discovery and classification. Systematically organize and prioritize sensitive information based on its significance and the needs of the organization. Gain contextual insights that are essential for the effective management of sensitive data. Ensure that you have complete visibility into a variety of sensitive data formats, including structured, semi-structured, and unstructured information. Protect data from unauthorized access while remaining compliant with regulations like PCI DSS, GDPR, CCPA, POPIA, PDPA, and APRA. Create and customize a data classification framework tailored to meet your specific organizational requirements. Implement a scalable and resilient approach to advanced data security for the future. Rely on a single platform designed to efficiently detect, identify, and contextualize sensitive information. By utilizing a proprietary data discovery algorithm, experience enhanced detection speed and a noticeable decrease in false positives, which will significantly bolster your data protection initiatives. This all-encompassing strategy will not only secure your data but also ensure that your organization is equipped to tackle the ever-evolving landscape of data security threats. Ultimately, it lays the groundwork for a proactive stance against potential vulnerabilities that may arise.

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
Free Version
Free Trial Offered?

Supported Platforms

Windows
On-Prem

Supported Platforms

Windows

Customer Service / Support

Web-Based Support

Customer Service / Support

24 Hour Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training
On-Site 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

SISA Information Security

Date Founded

2003

Company Location

India

Company Website

sisainfosec.com

Categories and Features

Data Classification

Not specified

Data Discovery

Not specified

Data Management

Data Capture
Data Quality Control
Data Security

Categories and Features

Data Classification

Not specified

Data Discovery

False Positives Reduction
Sensitive Data Identification

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