TITUS released TITUS Intelligent Protection, which adds machine learning advances to its TITUS Classification Suite for Windows and TITUS Illuminate solutions. With TITUS Intelligent Protection, customers can build and deploy a model based on company-specific data protection needs while leveraging machine learning to provide consistency and accuracy to data protection initiatives.
TITUS Intelligent Protection 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.
“As much as we want people to be our strongest security link, they can benefit from the assistance machine learning provides,” said Mark Cassetta, senior vice president, product management and strategy for TITUS.
“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.”
Disrupting the data protection market
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 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 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 an approach that builds on how they currently leverage machine learning.
Machine learning enables organizations to automate processes based on existing information, create policies with confidence while offering experience for end users. TITUS provides a data-driven workflow that is designed to build information from which knowledge can be derived. This methodology enables organizations to create a data protection strategy that suits their needs.
“The identification and classification of unstructured data for data loss protection use cases has always been one of the most labor-intensive, difficult tasks in securing sensitive data. With the IT security skills shortage more pronounced than ever, leveraging machine learning to bring a greater level of automation to the task could go a long way toward helping enterprises better secure their intellectual property and other mission critical data,” said Paula Musich, research director in the security and risk management practice at Enterprise Management Associates, a Boulder-based IT market research and consulting firm.
Properly identifying an organization’s data
TITUS Intelligent Protection extends the capabilities of the company’s 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 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 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 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 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 set of context to rights management and/or data loss prevention solutions, including cloud access security brokers (CASBs) and/or next-generation firewalls (NGFWs).
TITUS customers can apply any or all of these capabilities, ensuring a data protection strategy that meets their needs.