Netskope AI Labs

Intelligent Security Service Edge (SSE), Cloud Access Security Broker (CASB), Cloud Firewall, Next Generation Secure Web Gateway (SWG), and Private Access for ZTNA built natively into a single solution to help every business on its journey to Secure Access Service Edge (SASE) architecture.

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Netskope Borderless SD-WAN offers an architecture that converges zero trust principles and assured application performance to provide unprecedented secure, high-performance connectivity for every site, cloud, remote user, and IoT device.

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Netskope NewEdge is the world’s largest, highest-performing security private cloud and provides customers with unparalleled service coverage, performance and resilience.

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Plan your path toward a faster, more secure, and more resilient network designed for the applications and users that you support.

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The Netskope Cloud Exchange (CE) provides customers with powerful integration tools to leverage investments across their security posture.

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Learn about NewEdge

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Learn how we secure generative AI use

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Bonus Episode 2: The Magic Quadrant for SSE and Getting SASE Right
Mike and Steve discuss the Gartner® Magic Quadrant™ for Security Service Edge (SSE), Netskope’s positioning, and how the current economic climate will impact the SASE journey.

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How Netskope can enable the Zero Trust and SASE journey through security service edge (SSE) capabilities.

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Embrace SASE and transform your organization with insight from leading security and infrastructure experts.

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Explore the security side of SASE, the future of network and protection in the cloud.

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Netskope is proud to participate in Vision 2045: an initiative aimed to raise awareness on private industry’s role in sustainability.

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Supporting Sustainability Through Data Security

Netskope recognized as a Leader in the 2023 Gartner® Magic Quadrant™ for Security Service Edge.

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Meet our team

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Learn about Netskope Partners

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Deep industry expertise

We have a team of dedicated ML scientists, security researchers, and product engineers who have track records of solving security and fraud problems in different domains with over 100 patents. Leveraging our expertise in AI/ML and security, we are developing large-scale AI/ML solutions for SSE. For example, we are integrating the latest AI/ML technology into our data security and threat protection features, as well as business operations.

AI/ML
use cases

Compliance and privacy

Enterprise security

Cloud DevOps

Network Optimization

Compliance and privacy

We have found AI/ML to be quite valuable when it comes to helping organizations comply with industry and governmental regulations such as GDPR, CCPA, PCI, and HIPAA. For example:

By applying deep learning techniques and analyzing traffic flows, we are able to detect sensitive information found in documents, images, and applications
Through the use of embedded user and entity behavior analytics (UEBA), we have trained models to discern normal behavior patterns versus those that originate from malicious insiders, compromised accounts, brute force attacks, and data exfiltration attacks.

Enterprise security

AI/ML has useful application in protecting enterprise assets from being compromised and weaponized for malicious activities including data exfiltration, botnets, spam, and so on.

Leveraging ML models we are able to complement and enhance the malware detection capabilities found in traditional anti-virus signatures, threat intelligence, heuristics, and sandboxes
Through language models, we have improved and sped up the categorization and detection of malware web domains, URLs, and web content.

Cloud DevOps

Netskope uses AI/ML to proactively monitor our cloud production environment to ensure the efficient and effective delivery of secure access service edge (SASE) capabilities.

Having led the industry in the classification of SaaS and web services for many years, Netskope now leverages AI/ML to speed up this work and maintain our edge
Netskope Operations takes advantage of AI/ML methods to prioritize incident management, troubleshoot, and stay ahead of production challenges before they occur.

Network Optimization

Network optimization requires vast amounts of data about network activity, application use, and application performance. AI/ML helps optimize access and performance in a number of ways, including:

Delivery of enterprise-wide predictive insights making it easier for network engineers to ensure higher network performance
Production of flow analytics on application performance throughout the entire network
Beyond ML-based fault insights, use AI to troubleshoot devices at the branch level

Commitment of responsibility

Our Commitment to the Responsible Use of AI

As a leader in the transformation of network, cloud, and data security, we are committed to the responsible use of artificial intelligence and machine learning. We will work with peers, academia, thought leaders, and governments alike to safely direct AI/ML efforts in a way that will benefit and not cause harm to our customers, partners, employees, and their families. We will take precautions and maintain a posture of transparency in our efforts.

Blog posts

Recent Blog Posts

AI Labs

Here’s What ChatGPT and Netskope’s Inline Phishing Detection Have in Common

By Netskope AI Labs Team

Threat Labs

Understanding the Risks of Prompt Injection Attacks on ChatGPT and Other Language Models

By Colin Estep

AI Labs

AI and Deep Learning At Work: How to Know If Your Images Are Storing Sensitive Information

By Jason Bryslawskyj

Full Skope

Build a Culture and Governance to Securely Enable ChatGPT and Generative AI Applications—Or Get Left Behind

By James Robinson

Full Skope

Modern Data Protection Safeguards for ChatGPT and Other Generative AI Applications

By Carmine Clementelli

Platform, Products, & Services

Answering Key Questions About Embracing AI in Cybersecurity

By Yihua Liao

Resources

AI Labs resources

White paper

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.