Netskope AI Labs

Intelligent Security Service Edge (SSE), Cloud Access Security Broker (CASB), Cloud Firewall, Next Generation Secure Web Gateway (SWG), et Private Access for ZTNA intégrés nativement dans une solution unique pour aider chaque entreprise dans son cheminement vers l'architecture Secure Access Service Edge (SASE).

Présentation des produits

Le SD-WAN sans frontière de Netskope offre une architecture qui fait converger les principes de confiance zéro et les performances assurées des applications afin de fournir une connectivité sécurisée et performante sans précédent pour chaque site, cloud, utilisateur distant et appareil IoT.

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Découvrir notre plateforme

Découvrez NewEdge

Découvrez comment nous sécurisons l'utilisation de l'IA générative

Learn about Zero Trust

Learn about Industry Solutions

Épisode bonus 2 : Le quadrant magique de l'ESS et le bon fonctionnement de la SASE
Mike et Steve discutent du Gartner® Magic Quadrant™ pour Security Service Edge (SSE), du positionnement de Netskope et de l'impact du climat économique actuel sur le parcours SASE.

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Comment Netskope peut faciliter le parcours Zero Trust et SASE grâce aux capacités des services de sécurité en périphérie (SSE).

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Netskope a développé une variété de laboratoires pratiques, d'ateliers, de webinaires approfondis et de démonstrations afin d'éduquer et d'assister les clients AWS dans l'utilisation et le déploiement des produits Netskope.

Learn about AWS Immersion Day

Découvrez le côté sécurité de SASE, l'avenir du réseau et de la protection dans le cloud.

Learn about Security Service Edge

Netskope est fière de participer à Vision 2045 : une initiative visant à sensibiliser au rôle de l'industrie privée dans le développement durable.

Netskope nommé leader dans le rapport Magic QuadrantTM 2023 pour SSE de Gartner®.

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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

Plateforme, produits et services

Answering Key Questions About Embracing AI in Cybersecurity

By Yihua Liao

Plateforme, produits et services

Detecting Ransomware Using Machine Learning

By Yihua Liao

Plateforme, produits et services

Deep Learning for Phishing Website Detection

By Yihua Liao

Full Skope

Enhancing Security with AI/ML

By Krishna Narayanaswamy

Ressources

AI Labs resources

Livre blanc

Protéger les données à l'aide du machine learning

Chez Netskope, nous recourons à la technologie IA/ML dès que possible afin d'améliorer notre efficacité ainsi que la qualité de nos produits. À ce propos, nous avons intégré à notre système DLP une fonction de classification des images et des documents basée sur le ML.