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Netskope Zero Trust Data ProtectionNetskope

Protect data with context-aware access based on zero trust principles across web, cloud, email, private apps, and endpoints.

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Vendor

Netskope

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One platform to deliver zero trust across the hybrid workforce

Netskope Zero Trust Data Protection brings best-in-class DLP together with innovative technologies like machine learning and UEBA onto the Netskope One platform. The result is greater visibility and risk mitigation across all key vectors, simplified data classification, policy definition, and incident management, and greater end-user agility.

Top solutions for cloud data protection

Compliance

Whether you need to comply with mandates such as HIPAA, GDPR, GLBA, PCI, or another regimen, Netskope has you covered so you can pass audits. With Netskope DLP, you can construct activity audit trails, create summary compliance reports, protect sensitive data with strong encryption, and manage data incidents.

Data visibility and context

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.

Prevent data loss

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.

Converged data protection

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.

Streamline operations

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.

Superior user experience

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.

Protecting Data Using Machine Learning

At Netskope, we are embracing AI/ML technology, wherever it is applicable, to build better products, improve efficiency, and use the power of technology. Our advances in integrating ML-based image and document classification with our DLP is a testament to our approach. ML classification is more cost efficient, accurate, and secure than the traditional capabilities you might find in other DLP solutions. We also offer organizations the ability to securely train their own classifiers.

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