Best On-Premises Data Classification Software

Data Loss Prevention is defined as a system that performs real-time data classification on data at rest and in motion while automatically enforcing data security policies. Data in motion is data going to the cloud, internet, devices, or the printer. Our solution is the technology leader. Protecting on-premises, off-premises, and the cloud whether it be Mac, Linux, or Windows; our Data Loss Prevention security engine accurately detects structured & unstructured data at the binary level. GTB is the only Data Loss Prevention solution that accurately protects data when off the network. Discover, identify, classify, inventory, index, redact, re-mediate, index, control and protect your data including PII, PCI, PHI, IP, unstructured data, structured data, FERC, NERC, SOX, GLBA & more. Our patented and patent-pending, proprietary technology is able to prevent the syncing of sensitive data to unsanctioned or private clouds, while allowing its users to automatically identify “sync folders”.

MIND is the first-ever data security platform that puts data loss prevention (DLP) and insider risk management (IRM) programs on autopilot, so you can automatically identify, detect, and prevent data leaks at machine speed. Continuously find your sensitive data in files spread across your IT environments whether at rest, in motion, or in use. MIND continuously exposes blindspots of sensitive data across your IT environments including SaaS, AI apps, endpoints, on-premise file shares, and emails. MIND monitors and analyzes billions of data security events in real time, enriches each incident with context, and remediates autonomously. MIND automatically blocks sensitive data in real-time from escaping your control, or collaborates with users to remediate risks and educate on your policies. MIND continuously exposes blindspots of sensitive data at rest, in motion, and in use by integrating with data sources across your IT workloads, e.g. SaaS, AI apps, on-premises, endpoints, and emails.