You can’t protect your data when people and corporate systems don’t know enough about the contents of files to handle them properly.
The most effective way to provide that information is to ensure you have a robust classification solution in place.
By identifying the business value of unstructured data, organizations can make intelligent, deliberate decisions on how to handle their documents.
When users are active participants in data protection processes, they become more accountable for the information they create.
With support for fully automated, system-guided, and user-driven, manual classification, Titus integrates data identification and information protection into every day workflows, making it as seamless as a spell-check
This promotes a culture of security that enables organizations to enforce data governance policies and prevent inadvertent disclosures.
Titus Classification clearly identifies sensitive information by classifying documents and applying visual markings to email and files as needed.
As users work with the information, they are guided by interactive policy tips to encourage proper handling and prevent disclosure to unintended recipients.
DLP, encryption, and other perimeter security solutions can leverage Titus classification metadata to determine what information is sensitive and how it should be protected.
Classification selections and other information attributes can also trigger automatic protection by Microsoft Rights Management Services® (RMS) and other digital rights management solutions.
Titus Classification can be used to capture retention-related metadata as users create and send information. This metadata can be mapped to retention codes, allowing organizations to defensibly delete information as it goes from asset to liability.
Titus metadata also enhances eDiscovery by making it easier to find relevant information for legal, compliance, and regulatory requests.
Titus Classification enables organizations to confidently share information while complying with government and industry regulations.
Titus solutions are used by organizations to comply with broadly applicable regulations like GDPR, CCPA, EPMS as well as standards and regulations commonly used in governmental and military environments, like ISO 27001, NERC, HIPAA, SOX, ITAR, and EAR.
Accurately discovering and classifying sensitive data is essential to protecting it.
Data classification is the responsibility of everyone in your organization and we have an infograhic that details
what’s at stake and how to tackle the challenge of classyfying your data.
You need a solution that enables organizations to truly understand what kind of data they have, its value, and how best to classify files in order to mitigate your exposure to risk.
Titus Classification Suite empowers employees to work confidently and productively, knowing their emails, documents, and sensitive information are protected.
Learn more about how Titus Classification solutions help companies protect their data:
Learn how Titus Classification provides essential information to manage the lifecycle of information that resides outside of your content management repository.
Watch this joint webinar from 451 Research and Titus to learn how to use data classification to strengthen your organization’s approach information and data security.
Download this white paper today to learn about data security trends and how you can implement – and enforce – a successful data security strategy in your organization.
Learn why the capabilities in Azure Information Protection may be too narrow for many data classification needs, and why Titus Classification Suite is a better option.
Titus has been recognized as a pioneer of data classification since 2005 and while the sophistication of both the threats and the defenses have evolved over time, classification remains a foundational piece of any cybersecurity infrastructure.
Intelligent and specific classification of emails, files, and documents provides businesses the quickest path to identifying the value of unstructured data.
Machine learning is a term that’s being used more and more by data protection companies. Keep in mind that not all implementations of machine learning are the same.
Discover how machine learning can enable organizations to improve classification and enhance data protection strategies.
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