Titus Resources

Easily Implement the New DoD Marking Standard with Classification Software

The Department of Defense Manual (DoDM) 5200.01 Volume 2 mandates changes to the way information should be marked within the DoD.

Enhancing Microsoft MIP In An Era Of Enhanced Regulatory Obligation

Learn why data classification is critical to your organization’s success.

How a Culture of Security Drives Brand Trust

Titus is uniquely positioned within your organization, at the intersections where information is created, accessed, processed, protected and shared.

Improve Your Privacy Strategy

Download our white paper to learn how to extend Microsoft Azure Information Protection capabilities using Titus Accelerator for Privacy.

Improving DLP accuracy with Titus Data Classification

Rich, persistent metadata from Titus enables DLP solutions to make better policy decisions.

Integrating Information Labelling and Microsoft AD RMS

Using Titus as the interface to AD RMS abstracts the encryption decision from the end user; they don’t have to figure out what protection to apply or how.

ITAR Compliance – Strategies to Identify and Protect Technical Data

Strategies to meet ITAR requirements and best practices surrounding the implementation of an ITAR compliance program.

Key Considerations in The Ever-Evolving Data Privacy Landscape

Enza Iannopollo, principal analyst at Forrester, answers questions about building the foundation of an effective data security strategy.

Meeting CUI Requirements with Titus Classification Solutions

Strategies to comply with Federal CUI Rule (32 CFR Part 2002) and NIST Special Publication 800-171.

Optimizing Information Sharing – Military

How military organizations can share information securely and effectively by using a classification management solution.

Protect Your CUI Data: 5 Steps to a Successful CUI Compliance Plan

This paper provides IT professionals and executives with an overview of the issues related to Personally Identifiable Information (PII) and privacy.

Smarter Data Protection with Machine Learning

Minimize risk and increase confidence with more accurate and efficient data identification, classification, and policy enforcement.