Best Data Classification Software for Kriptos

Data Loss Prevention can be described as a system that automatically enforces data security policies and real-time data classification of data in motion and at rest. Data in motion refers to data that is sent to the internet, cloud, devices, or printer. Our technology leader is our solution. Our Data Loss Prevention security engine detects both structured and unstructured data at the binary level. It protects on-premises, offsites, as well as the cloud. GTB is the only Data Loss Prevention tool that protects data even when it's not connected to the network. Find, classify, classify, index, redact and re-mediate your data. This includes PII, PHI, structured data, FERC/NERC, SOX & more. Our patent-pending proprietary technology can prevent sensitive data from being synced to private or unapproved clouds. It also allows users to identify "sync files".

Forcepoint Data Classification utilizes advanced Machine Learning (ML) and Artificial Intelligence (AI) to enhance the precision of classifying unstructured data, thereby boosting your team's productivity, minimizing false alerts, and improving data loss prevention. By harnessing AI-driven insights, this approach revolutionizes data classification, allowing for precise and efficient categorization of data on a large scale. With the most extensive range of data types covered in the industry, it enhances operational efficiency and simplifies compliance, while also providing superior protection for organizational data assets. This solution accelerates the data classification process, leading to a decrease in false positives and allowing teams to focus more on genuine data security threats. Forcepoint equips organizations to discover, classify, monitor, and safeguard their data through a comprehensive suite of data security tools. Moreover, it offers a holistic perspective on unstructured data throughout the organization, ensuring no critical information is overlooked. Ultimately, this capability empowers businesses to respond swiftly and effectively to data management challenges.