What are the next Data Loss Prevention (DLP) Disruptions?
Data Loss Prevention (DLP) is a technology used to prevent sensitive or confidential data from being shared or accessed by unauthorized parties. While others need to play catchup in the below categories, GTB DLP has led the way in:
Artificial Intelligence
DLP systems that use Artificial Intelligence and Machine Learning can be more precise and efficient in identifying and blocking sensitive data, as well as help to better understand the context of the data.
Cloud computing
As more companies moved their data and applications to the cloud, GTB Data Protection that Workstm solutions have adapted to protect sensitive data in these new environments.
Collaboration tools
As more employees began to work remotely, the use of collaboration tools like Microsoft Teams and Zoom increased, and companies needed to guarantee that sensitive data is not being shared or leaked through these platforms. GTB rapidly pivoted to provide a comprehensive remote worker solution.
IoT
The increasing use of Internet of Things (IoT) devices in the workplace and at home have and will continue to create new data loss prevention challenges as these devices collect and transmit sensitive data.
Automation
Automation of DLP policies and actions, combined with intelligent detection engines have enabled GTB customers to reduce the workload of IT staff and improve the efficiency of their data protection systems.
Next DLP Disruptions … today!
Overall, DLP solutions will need to continue to evolve to better protect sensitive data in an increasingly complex digital environment. Using smart, patented, and proprietary algorithms, GTB’s DLP that Workstm solutions optimize data protection policies, providing tailored controls and comprehensive data privacy policies to provide maximum data loss protection.