Netskope AI Labs

Intelligent Security Service Edge (SSE), Cloud Access Security Broker (CASB), Cloud Firewall, Next Generation Secure Web Gateway (SWG) e Private Access for ZTNA integrados nativamente em uma única solução para ajudar todas as empresas em sua jornada para o Secure Access Service Arquitetura de borda (SASE).

Vá para a plataforma

Netskope Borderless SD-WAN oferece uma arquitetura que converge princípios de confiança zero e desempenho de aplicativo garantido para fornecer conectividade segura e de alto desempenho sem precedentes para cada site, nuvem, usuário remoto e dispositivo IoT.

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Explore a nossa plataforma

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Saiba como protegemos o uso de IA generativa

Learn about Zero Trust

Learn about Industry Solutions

Bônus Episódio 2: O Quadrante Mágico para SSE e como acertar o SASE
Mike e Steve discutem o Gartner® Magic Quadrant™ para Security Service Edge (SSE), o posicionamento da Netskope e como o clima econômico atual afetará a jornada do SASE.

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Como a Netskope pode habilitar a jornada Zero Trust e SASE por meio dos recursos de borda de serviço de segurança (SSE).

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A Netskope desenvolveu uma variedade de laboratórios práticos, workshops, webinars detalhados e demonstrações para educar e auxiliar os clientes da AWS no uso e implantação dos produtos Netskope.

Learn about AWS Immersion Day

Explore o lado de segurança de SASE, o futuro da rede e proteção na nuvem.

Learn about Security Service Edge

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A Netskope foi reconhecida como Líder no Magic Quadrant™ do Gartner® de 2023 para SSE.

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Conheça nossa equipe

Learn about Netskope Partners

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

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

Plataforma, Produtos, & Serviços

Answering Key Questions About Embracing AI in Cybersecurity

By Yihua Liao

Plataforma, Produtos, & Serviços

Detecting Ransomware Using Machine Learning

By Yihua Liao

Plataforma, Produtos, & Serviços

Deep Learning for Phishing Website Detection

By Yihua Liao

Full Skope

Enhancing Security with AI/ML

By Krishna Narayanaswamy

Recursos

AI Labs resources

Whitepaper

Proteção de dados com aprendizado de máquina

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.