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    Changing the way networking and security work together.

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    Netskope serves more than 3,400 customers worldwide including more than 30 of the Fortune 100

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A Leader in SSE.
Now a Leader in Single-Vendor SASE.

Learn why Netskope debuted as a leader in the 2024 Gartner® Magic Quadrant™️ for Single-Vendor Secure Access Service Edge

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Customer Visionary Spotlights

Read how innovative customers are successfully navigating today’s changing networking & security landscape through the Netskope One platform.

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Netskope’s partner-centric go-to-market strategy enables our partners to maximize their growth and profitability while transforming enterprise security.

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Your Network of Tomorrow

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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Introducing the Netskope One Platform

Netskope One is a cloud-native platform that offers converged security and networking services to enable your SASE and zero trust transformation.

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Embrace a Secure Access Service Edge (SASE) architecture

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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Netskope Cloud Exchange

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

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The platform of the future is Netskope

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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Next Gen SASE Branch is hybrid — connected, secured, and automated

Netskope Next Gen SASE Branch converges Context-Aware SASE Fabric, Zero-Trust Hybrid Security, and SkopeAI-powered Cloud Orchestrator into a unified cloud offering, ushering in a fully modernized branch experience for the borderless enterprise.

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Designing a SASE Architecture For Dummies

Get your complimentary copy of the only guide to SASE design you’ll ever need.

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Make the move to market-leading cloud security services with minimal latency and high reliability.

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Safely enable the use of generative AI applications with application access control, real-time user coaching, and best-in-class data protection.

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Safely Enable ChatGPT and Generative AI
Zero trust solutions for SSE and SASE deployments

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Netskope achieves FedRAMP High Authorization

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Security Visionaries Podcast

The Future of Security: Quantum, AI, and Macro-political Change
Emily Wearmouth and Max Havey speak with Netskope CEO Sanjay Beri and CTO Krishna Narayanaswamy about the future of security.

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The Future of Security: Quantum, AI, and Macro-political Change
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Read how Netskope can enable the Zero Trust and SASE journey through secure access service edge (SASE) capabilities.

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SASE Week 2024 On-Demand

Learn how to navigate the latest advancements in SASE and zero trust and explore how these frameworks are adapting to address cybersecurity and infrastructure challenges

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What is SASE?

Learn about the future convergence of networking and security tools in today’s cloud dominant business model.

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Supporting sustainability through data security

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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Secure your digital transformation journey and make the most of your cloud, web, and private applications with Netskope training.

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Safely Enable ChatGPT and Generative AI

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Generative AI SaaS applications, like ChatGPT, have revolutionized corporate workflows, but have also introduced significant data security risks. Now you can safely enable the use of generative AI applications with application access control, real-time user coaching, and best-in-class data protection.
Safely Enable ChatGPT and Generative AI
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Achieve full visibility and control of cloud applications across your organization

Monitor and secure SaaS applications like ChatGPT with advanced risk categorization and real-time access control to manage how employees access generative AI applications.

  • Discover usage of ChatGPT and other SaaS apps within the organization
  • Attain best-in-class app risk categorization via Cloud Confidence Index™ (CCI)
  • Leverage granular context and application instance awareness
  • Gain app usage, data movement, and user behavior insights via Advanced Analytics
  • Use real-time user coaching to enforce best practices in application usage
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Ensure the confidentiality and security of sensitive data

Netskope DLP identifies flows of sensitive data with the highest level of precision, preventing any unsafe exposure on SaaS applications like ChatGPT, as well as on personal instances. Real-time coaching guides users to adopt safe business practices when interacting with sensitive data. With Netskope DLP, organizations can:

  • Achieve precise and automated discovery of sensitive data
  • Leverage the power of AI and ML for accurate data classification
  • Train your own classifier (TYOC) to enhance the system’s ability to recognize unique data sets
  • Implement real-time user coaching to guide and educate users on safe data handling practices
  • Prevent unauthorized cross-application data flows
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Safely enabling ChatGPT
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Experience Netskope
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Hands-on Lab
Introduction to Netskope SkopeAI for GenAI

The Netskope SkopeAI for GenAI Hands-On Lab gives you a unique opportunity to learn how to detect new usage of GenAI apps such as ChatGPT, prevent accidental or intentional sensitive data exposures, and further enhance your security posture using the Netskope One platform.

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Netskope secures sensitive data in the use of generative AI applications

Application access control

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Netskope provides automated tools for security teams to continuously monitor what applications (such as ChatGPT) corporate users attempt to access, how, when, from where, with what frequency etc.

Advanced detection and safeguarding of sensitive data

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With Netskope’s data loss prevention (DLP), powered by ML and AI models, thousands of file types, personally identifiable information, intellectual property (IP), financial records and other sensitive data are confidently identified and automatically protected from unwanted and non-compliant exposure.

Netskope detects and secures sensitive data in-motion, at-rest and in-use and through every possible user connection, in the office, in the datacenter, at home and on the road.

Real-time data protection and automatic user coaching

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Netskope DLP offers several enforcement options to stop and limit the upload and posting of highly sensitive data through ChatGPT. This real-time enforcement applies to every user connection, ensuring data protection in the modern hybrid work environment where corporate users connect from the office, home, and while on the road.

Netskope provides automated tools for security teams to continuously monitor what applications (such as ChatGPT) corporate users attempt to access, how, when, from where, with what frequency etc.

With Netskope’s data loss prevention (DLP), powered by ML and AI models, thousands of file types, personally identifiable information, intellectual property (IP), financial records and other sensitive data are confidently identified and automatically protected from unwanted and non-compliant exposure.

Netskope detects and secures sensitive data in-motion, at-rest and in-use and through every possible user connection, in the office, in the datacenter, at home and on the road.

Netskope DLP offers several enforcement options to stop and limit the upload and posting of highly sensitive data through ChatGPT. This real-time enforcement applies to every user connection, ensuring data protection in the modern hybrid work environment where corporate users connect from the office, home, and while on the road.

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Key Statistics
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Use of generative AI applications like ChatGPT is exploding

100M+
ChatGPT users gained between February and April, 2023
Source: The Guardian
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Key Statistics
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Use of generative AI applications like ChatGPT is exploding

1.8B
ChatGPT visits over the past 30 days
Source: SimilarWeb
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Key Statistics
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Use of generative AI applications like ChatGPT is exploding

74%
of data theft flows into personal cloud storage instances of popular apps
Source: Netskope Cloud & Threat Report
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General precautions and security recommendations with the use of Generative AI applications

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Local deployment

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Whenever possible, deploy AI models locally on your company’s machines. This eliminates the need for data to leave your company’s network, reducing the risk of data leakage.

Data anonymization

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Instruct corporate users to spend some time anonymizing or pseudonymizing sensitive data before utilizing it in AI models. This involves replacing identifiable data with artificial identifiers. Even if leaked, the data would be useless without the original identifiers.

Data encryption

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Whenever possible, implement encryption both at rest and in transit for the most confidential corporate data. This ensures that even if the data is exposed, it remains unreadable without a decryption key.

Strict access control

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Utilize robust access control mechanisms to corporate resources and data repositories to restrict interaction with AI models and the associated data.

Audit trails

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Maintain detailed audit logs of all activities related.to data handling and AI model operations. These logs aid in identifying suspicious activities and serve as a reference for future investigations.

Data minimization

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Train all employees to adhere to the principle of using the minimum amount of data necessary for effective functioning of the AI model. By limiting data exposure, the potential impact of a breach can be reduced.

Whenever possible, deploy AI models locally on your company’s machines. This eliminates the need for data to leave your company’s network, reducing the risk of data leakage.

Instruct corporate users to spend some time anonymizing or pseudonymizing sensitive data before utilizing it in AI models. This involves replacing identifiable data with artificial identifiers. Even if leaked, the data would be useless without the original identifiers.

Whenever possible, implement encryption both at rest and in transit for the most confidential corporate data. This ensures that even if the data is exposed, it remains unreadable without a decryption key.

Utilize robust access control mechanisms to corporate resources and data repositories to restrict interaction with AI models and the associated data.

Maintain detailed audit logs of all activities related.to data handling and AI model operations. These logs aid in identifying suspicious activities and serve as a reference for future investigations.

Train all employees to adhere to the principle of using the minimum amount of data necessary for effective functioning of the AI model. By limiting data exposure, the potential impact of a breach can be reduced.

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Thought leadership

Securing generative AI usage