Company patents
Netskope, Inc.
Netskope, Inc. maintains a strong focus on its core Network Security & Access Control, comprising 71.1% of its portfolio, despite a -10.7% decline in patent grants in 2025, suggesting a potential shift in resource allocation. Surprisingly, while most categories saw a significant drop in patent grants so far in 2026, the company showed an emerging focus on Computer Vision and Machine Learning & AI, with 2025 seeing rapid growth rates of +233.3% and +100.0% respectively, indicating a strategic push into advanced analytical and visual security technologies.
Patent Trend by Technology Area
Yearly patent publications since 2023
Product themes
Product-level themes inferred from filings since 2023, with category chips showing where each theme appears. Select a theme to filter the patents below.
263 US filings (since 2023) · 12 categories · 22 themes
Tools and processes for assessing, monitoring, and improving the security configuration and external accessibility of resources deployed within cloud computing environments.
Systems and methods for encrypting data at a fine-grained level (e.g., per data unit or based on sensitivity) and controlling access to it, often involving delegated authorization, contextual policies, or secure data sharing.
Methods and systems for protecting network resources and data from unauthorized access, misuse, or attack, encompassing authentication, authorization, encryption, and traffic filtering mechanisms. This includes securing communication channels and validating network access.
Systems and methods for authenticating users, devices, or applications, authorizing their access to resources based on policies, and managing digital identities across various platforms.
Systems and methods for automatically deploying, configuring, and updating network devices and services, including software updates, client onboarding, and topology management across various network types.
Mechanisms to facilitate the secure exchange of data between different entities or systems while enforcing usage policies, managing digital content rights, and ensuring data consistency during replication or transfer.
Systems and methods for identifying and blocking unauthorized access, malicious activities, or abnormal behavior within a network by analyzing traffic, system logs, or behavioral patterns.
Applying artificial intelligence and machine learning techniques to enhance cryptographic systems, such as generating encryption models, improving zero-trust architectures, or enabling privacy-preserving computations like federated learning.
Managing and optimizing network resources and services deployed at the edge of the network or within cloud environments, including distributed domain name resolution, resource exposure analysis, and traffic management specific to distributed architectures.
Technologies enabling the creation and management of virtual computing environments, including virtual machines and virtual desktops, with an emphasis on secure and efficient remote access, updates, and performance.
Methods and systems for monitoring, controlling, and managing Internet of Things (IoT) devices and their communication networks, often involving adaptive or intelligent frameworks for data acquisition, relay, and automation.
Technologies for establishing and maintaining secure communication channels between devices or networks, often employing encryption, secure protocols, or virtual private networks (VPNs).
Techniques for distributing computational tasks, data storage, and service logic across cloud data centers, edge devices, and user equipment to improve performance, resilience, or resource utilization. This includes architectures for split rendering, decentralized ledgers, and microservices.
Techniques and systems for optimizing network traffic flow, distributing loads across multiple paths or resources, and ensuring quality of service based on various criteria like application type, latency, or resource availability. This includes dynamic path selection, congestion control, and resource allocation.
Technologies for deploying, managing, and governing applications and services in cloud environments, particularly focusing on containerization, microservice architectures, API gateways, and distributed data management.
Techniques and systems designed to monitor network health, diagnose issues, optimize traffic flow, and ensure continuous operation and reduced downtime in complex network environments, including cloud and storage area networks.
Methods and systems for efficiently allocating computing resources, balancing workloads, and managing power states to improve performance, reduce energy consumption, or enhance reliability in computing platforms.
Techniques for protecting data at rest or in backup, ensuring its integrity, confidentiality, and verifiable origin, often involving encryption, unique identifiers, or secure repositories.
Utilizing dedicated hardware components, secure enclaves, or trusted execution environments to perform cryptographic operations, enhancing security, performance, or isolation from software vulnerabilities.
Methods and systems for generating, distributing, updating, rotating, and securely destroying cryptographic keys to maintain data confidentiality and integrity over time, including quantum key distribution.
Utilizing machine learning, particularly deep learning, to analyze medical data such as images, sensor readings, or physiological signals for disease prediction, diagnosis, or treatment assessment.
Techniques for combining data from disparate sensor types (e.g., cameras, radar, mobile device signals) to achieve a more robust and comprehensive understanding of an environment or subject, often leveraging machine learning for interpretation and correlation.
Patents
Showing 1-10 of 79
Network Security & Access Control