Machine Learning Capabilities Aid in Identifying and Protecting Critical Data

TITUS’ Intelligent Protection Offers Machine Learning Driven by Classification to Reduce Risk of Data Loss

TITUS, a leading provider of data protection solutions, has announced TITUS Intelligent Protection, which adds breakthrough machine learning advances to its TITUS Classification Suite of solutions.  We were curious about this – and knew you would be too – so we spoke with Mark Cassetta, senior vice president, product management and strategy for TITUS to gain further insights.

The purpose of TITUS Intelligent Protection is to allow customers to build and deploy a model based on company-specific data protection needs while leveraging machine learning to provide additional consistency and accuracy to data protection initiatives.

Machine learning enables TITUS customers to train their solutions to add an element of automation to the identification and classification of documents and emails. This blend of rule-based and automatic or suggested classification means customers can benefit from the efficiencies of machine learning to both complement and enhance their data protection strategy.

Mark Cassetta, senior vice president, product management and strategy for TITUS

“As much as we want people to be our strongest security link, they can benefit from the assistance machine learning provides,” Mark told us, “Machine learning is the first technology that actually scales and produces a repeatable way for expert views and definitions, in any enterprise, to be made available to every employee. By enabling organizations to harness the power of machine learning in concert with their current information security policies, TITUS Intelligent Protection offers the ability to scale their existing data protection strategy efficiently and effectively, without placing an additional burden on their employees.”

We asked Mark to elaborate on whether this model uses reinforcement learning or standard supervised learning.  He said, “this is not reinforcement learning today and that’s actually by choice.  In the context of what we do, we’re trying to drive pretty hard line rules about how to use data in your organization and so the idea of giving users the ability to train the system becomes kind of risky.  As an example, let’s say an enterprise has 10,000 users and you have someone who wants to be malicious and said “you know what? I’m going to train certain datasets to be public,” and they decided to just start trying to cheat the system.  The data could be too sensitive for that risk.  We believe that reinforcement learning is something we eventually want to get to but it isn’t right for this first phase.”

Organizations have embraced the use of artificial intelligence and machine learning to evaluate and understand the massive amounts of data generated and consumed daily.  While there has been a thoughtful application of these technologies to address information management and Big Data challenges, many still look for a ‘silver bullet’ solution when thinking about machine learning and security.  The use of machine learning to replace or help data protection decisions, that traditionally rested on the shoulders of employees, has the potential to change the way organizations approach data security initiatives. For this to be successful, organizations require a pragmatic approach that builds on how they currently leverage machine learning.

Machine learning enables organizations to automate processes based on existing information, create policies with a high degree of confidence while offering a frictionless experience for end users. TITUS provides a data-driven workflow that is designed to build valuable information from which knowledge can be derived. This thoughtful, pragmatic methodology enables organizations to create a data protection strategy that best suits their unique needs.

TITUS Intelligent Protection extends the capabilities of the company’s industry-leading Classification Suite for Windows and TITUS Illuminate to reduce ambiguity in information identification and classification, and to enhance the consistency in which policies are applied. Applying machine learning in this way augments the work of IT and security administrators, providing them with increased confidence in how information is identified and protected.  Capabilities immediately available include:

  • Confident automation and protection of sensitive information: As organizations look to deploy data protection across all employees, they seek opportunities to minimize the friction that inherently comes with such a move as much as possible. TITUS Intelligent Protection offers organizations the ability to build and train models that reflect the sensitive information unique to their organization. This enables the organization to confidently apply automation to the detection, classification, and protection of their sensitive data.
  • Machine learning-assisted classification: With the integration of TITUS Intelligent Protection capabilities, users will see a recommended classification for content they’ve created based on the recommendation of their machine learning model. This lifts the burden from end users, who then only need to simply confirm the classification as opposed to determining the category on their own.
  • Extend intelligence to the ecosystem: After TITUS applies intelligence to identify sensitive information, that identity travels with the data. This helps optimize an organization’s security strategy by bringing a rich set of context to rights management and/or data loss prevention solutions, including cloud access security brokers (CASBs) and/or next-generation firewalls (NGFWs).

We asked Mark if is it fair to say that TITUS Intelligent Protection is designed to help employees, who are not necessarily trained in security, make security related decisions better?  You could even argue that the employees would need less training or less understanding of security.  Is that correct?  He agreed with this assertion.


TITUS solutions enable organizations to discover, classify, protect, analyze and confidently share information. Organizations use TITUS to meet regulatory compliance requirements by identifying and securing unstructured data – on the desktop, on mobile devices, and in the cloud. Millions of users in over 120 countries trust TITUS to keep their data compliant and secure, including some of the largest financial institutions and manufacturing companies in the world, government, and military organizations across the G-7 and Australia, and Fortune 2000 companies. More information is available at

By: Steven Bowcut, CPP, PSP, Editor-in-Chief for Brilliance Security Magazine