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 ensure 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.
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GTB Data Security Benefits for SRM Admins
Visibility: Accurately, discover sensitive data; detect and address broken business process, or insider threats including sensitive data breach attempts.
Protection: Automate data protection, breach prevention and incident response both on and off the network; for example, find and quarantine sensitive data within files exposed on user workstations, FileShares and cloud storage.
Notification: Alert and educate users on violations to raise awareness and educate the end user about cybersecurity and corporate policies.
Education: Start target cyber-security training; e.g., identify end-users violating policies and train them.
- Employees and organizations have knowledge and control of the information leaving the organization, where it is being sent, and where it is being preserved.
- Ability to allow user classification to give them influence in how the data they produce is controlled, which increases protection and end-user adoption.
- Control your data across your entire domain in one Central Management Dashboard with Universal policies.
- Many levels of control together with the ability to warn end-users of possible non-compliant – risky activities, protecting from malicious insiders and human error.
- Full data discovery collection detects sensitive data anywhere it is stored, and provides strong classification, watermarking, and other controls.
- Delivers full technical controls on who can copy what data, to what devices, what can be printed, and/or watermarked.
- Integrate with GRC workflows.
- Reduce the risk of fines and non-compliance.
- Protect intellectual property and corporate assets.
- Ensure compliance within industry, regulatory, and corporate policy.
- Ability to enforce boundaries and control what types of sensitive information can flow where.
- Control data flow to third parties and between business units.