Zero Trust Data Protection

Understand where your most sensitive data is flowing and how it’s being used, including sensitive data at rest in managed cloud services and data in motion for cloud services and within web traffic. Enrich visibility and decision-making by understanding the identity, device, behavior, browser, location, activity, and threat risk surrounding data.

Netskope anomaly detection combined with DLP capabilities can correlate the download of sensitive data and detect data movement that could signal data exfiltration. Zero trust principles leverage contextual policies to enable granular, least-privileged data access along with continuous assessment that dynamically adapts that access as context changes.

Consolidate data protection across web, SaaS, IaaS, email, private apps, and devices, eliminating the need for multiple siloed data protection solutions and policies. Instead, data is classified once, with a single policy enacted across all vectors, with incidents managed on a single pane of glass.

Dramatically simplify DLP implementations with Netskope’s advanced data protection capabilities. Machine Learning and data profiles automate large parts of the data classification and discovery process, Advanced Analytics provides insights about data that enables organic, proactive policy definition, while automated workflows can block, quarantine, or encrypt data.

Boost end-user agility with flexible context-driven policies that grant risk-appropriate access to apps and data, as well as a lightweight unified agent with cloud-based inspection that minimizes the impact of DLP on the user experience.