Scott Hubert

Abstract: Machine learning is having a profound impact on cybersecurity. But how can it be practically applied to data protection? It all comes down to knowing what data organizations have and what they need to do with it. With this approach, machine learning can deliver the best results: Provide the accurate identification of sensitive data and help people understand how to handle the information they deal with as part of their day-to-day work. This is an important first step because proper handling will help inform machine learning algorithms about what appropriate actions need to happen.
Join Scott Hubert, Director of Product Management at TITUS, as he shares practical advice on how to leverage the application of machine learning to help make data protection easier for end users and for organizations to make sense of the value of the data they have.
Key takeaways:
1. Why collaboration across the organization is essential to maximize the ROI of machine learning capabilities for data protection.
2. How setting the right policies ensures machine learning works with the data in your organization, observing and learning through continuous user, file, and machine monitoring.
3. How to design processes that help identify the data you have, where it is, and who has access, so you can categorize information to support data governance and improve storage efficiencies.

Scott Hubert is the Director of Product Management at TITUS. His team is responsible for defining, developing, and overseeing TITUS’s product roadmap, and balancing the needs of current customers to help them meet business objectives. Scott has over 25 years of enterprise software development experience. He has an established track record of leading and transforming product requirements into customer-ready offerings, managing global teams, and building client relationships. Before joining TITUS, Scott held a variety of senior roles in the Product and Solutions teams at IBM and Nortel. He has spoken at several cybersecurity events, most recently about GDPR compliance and enterprise readiness.