Netskope is recognized as a Leader again in the Gartner® Magic Quadrant™ for SASE Platforms. Get the Report

close
close
Your Network of Tomorrow
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.
          Experience Netskope
          Get Hands-on With the Netskope Platform
          Here's your chance to experience the Netskope One single-cloud platform first-hand. Sign up for self-paced, hands-on labs, join us for monthly live product demos, take a free test drive of Netskope Private Access, or join us for a live, instructor-led workshops.
            A Leader in SSE. Now a Leader in Single-Vendor SASE.
            Netskope is recognized as a Leader Furthest in Vision for both SSE and SASE Platforms
            2X a Leader in the Gartner® Magic Quadrant for SASE Platforms
            One unified platform built for your journey
              Securing Generative AI for Dummies
              Securing Generative AI for Dummies
              Learn how your organization can balance the innovative potential of generative AI with robust data security practices.
                Modern data loss prevention (DLP) for Dummies eBook
                Modern Data Loss Prevention (DLP) for Dummies
                Get tips and tricks for transitioning to a cloud-delivered DLP.
                  Modern SD-WAN for SASE Dummies Book
                  Modern SD-WAN for SASE Dummies
                  Stop playing catch up with your networking architecture
                    Understanding where the risk lies
                    Advanced Analytics transforms the way security operations teams apply data-driven insights to implement better policies. With Advanced Analytics, you can identify trends, zero in on areas of concern and use the data to take action.
                        The 6 Most Compelling Use Cases for Complete Legacy VPN Replacement
                        The 6 Most Compelling Use Cases for Complete Legacy VPN Replacement
                        Netskope One Private Access is the only solution that allows you to retire your VPN for good.
                          Colgate-Palmolive Safeguards its "Intellectual Property” with Smart and Adaptable Data Protection
                          Colgate-Palmolive Safeguards its "Intellectual Property” with Smart and Adaptable Data Protection
                            Netskope GovCloud
                            Netskope achieves FedRAMP High Authorization
                            Choose Netskope GovCloud to accelerate your agency’s transformation.
                              Let's Do Great Things Together
                              Netskope’s partner-centric go-to-market strategy enables our partners to maximize their growth and profitability while transforming enterprise security.
                                ""
                                Netskope Cloud Exchange
                                Netskope Cloud Exchange (CE) provides customers with powerful integration tools to leverage investments across their security posture.
                                  Netskope Technical Support
                                  Netskope Technical Support
                                  Our qualified support engineers are located worldwide and have diverse backgrounds in cloud security, networking, virtualization, content delivery, and software development, ensuring timely and quality technical assistance
                                    Netskope video
                                    Netskope Training
                                    Netskope training will help you become a cloud security expert. We are here to help you secure your digital transformation journey and make the most of your cloud, web, and private applications.
                                      Netskope

                                      Responsible AI Policy

                                      Introduction link link

                                      Netskope is committed to leveraging Artificial Intelligence (AI) and Machine Learning (ML) technologies in a responsible and ethical manner. This policy outlines the principles, regulations, and controls that guide the use of AI/ML at Netskope, ensuring compliance with relevant laws, including the EU AI Act, and adherence to our customers expectations, Netskope policies, and Netskope AI security standards.

                                      Netskope has an active internal AI Governance Committee that sets internal policy, processes, and standards for the safe and ethical use of AI/ML within Netskope and in Netskope products. The Committee includes both technical, privacy and legal experts.

                                      Scope link link

                                      This policy is applicable to all employees and independent contractors of Netskope. The requirements defined in this policy are applicable to AI/ML systems and services owned/or managed by Netskope.

                                      Risk Management link link

                                      Adhering to this policy enables Netskope to maintain the highest standards of security, fairness and innovation while mitigating potential risks, including mitigation of data breaches, privacy violations, AI/ML technical exploitations, regulatory penalties, reputational damage, loss of trust and potential legal liabilities. By enforcing strict adherence to this policy, these risks can be mitigated, whilst maintaining a commitment to ethical, transparent, and secure AI/ML practices.

                                      Objectives link link

                                      • Ensure the ethical use of AI/ML technologies
                                      • Comply with regulatory requirements, including the EU AI Act
                                      • Support NIST AI risk management framework standard
                                      • Protect the privacy and security of data
                                      • Promote transparency and accountability in AI/ML systems
                                      • Implement robust organizational and technical controls

                                      Regulatory Compliance link link

                                      Netskope’s AI/ML initiatives comply with applicable laws and regulations, including the following:

                                      • EU AI Act: Netskope adheres to the guidelines and requirements set forth by the EU AI Act, ensuring that our AI systems are safe, transparent, non-discriminatory, and respect fundamental rights.
                                      • GDPR and Data Protection Laws: AI/ML systems are designed and operated in compliance with the General Data Protection Regulation (GDPR) and other relevant data protection laws, ensuring the privacy and security of personal data.

                                      Ethical Principles link link

                                      Netskope’s use of AI/ML technologies is guided by the following ethical principles:

                                      • Fairness: Ensure that AI/ML systems do not discriminate against individuals or groups based on race, gender, age, or other protected characteristics.
                                      • Transparency: Ensure transparency in AI/ML systems, providing information about how AI systems operate and the intended purpose.
                                      • Netskope Classification: Netskope Private
                                      • Accountability: Establish clear accountability for AI/ML systems, ensuring that there are mechanisms in place for oversight and redress.
                                      • Safety and Security: Ensure that AI/ML systems are secure and do not pose a high-risk to individuals or society.

                                      AI Security Standard link link

                                      Netskope has established an AI security standard, leveraging the NIST Artificial Intelligence Risk Management Framework (NIST AI RMF) along with best practice guidance from CISA and NCSC, that includes both organizational and technical controls to manage and govern the use of AI/ML:

                                      Organizational Controls

                                      • Governance Framework: Established governance framework for AI/ML, including an AI governance committee to oversee AI initiatives and ensure compliance with ethical and regulatory standards.
                                      • Training and Awareness: Provide regular training and awareness programs for employees on responsible AI practices, ethical considerations, and regulatory requirements.
                                      • Risk Management: Conduct regular risk assessments of AI/ML systems to identify, evaluate, and mitigate potential risks.
                                      • Inventory: Maintain an accurate inventory of AI/ML systems to ensure visibility, accountability and continuous governance of risks.

                                      Technical Controls

                                      • Data Management: Applied robust data management practices, including data quality checks, anonymization, and minimization, to protect the privacy and security of data used in AI/ML systems.
                                      • Model Monitoring and Validation: Implemented continuous monitoring and validation of AI/ML models to ensure their accuracy, fairness, and reliability.
                                      • Security Measures: Applied advanced security measures, such as encryption, anonymization, access controls, and threat detection, to protect AI/ML systems from cyber threats.
                                      • Bias Mitigation: Implemented techniques and tools to identify and mitigate biases in AI/ML systems, ensuring fairness and equity in outcomes.

                                      Transparency and Accountability link link

                                      Netskope commits to maintaining transparency and accountability in the use of AI/ML technologies by:

                                      • Documentation and Reporting: Documenting AI/ML development processes and decisions, and providing regular reports on AI initiatives to stakeholders.
                                      • Audits: Conducting regular audits of AI/ML systems and practices to ensure compliance with ethical standards and regulatory requirements.
                                      • User Engagement: Providing mechanisms for users to request further information on use of AI/ML systems, supporting transparency and understanding.

                                      Continuous Improvement link link

                                      Netskope is dedicated to continuous improvement in the responsible use of AI/ML technologies by:

                                      • Innovation and Research: Investing in research and development to advance the state of responsible AI and address emerging ethical and regulatory challenges.
                                      • Stakeholder Collaboration: Collaborating with industry peers, regulators, and other stakeholders to share best practices and contribute to the development of responsible AI standards.

                                      Conclusion link link

                                      Netskope is committed to the responsible and ethical use of AI/ML technologies, ensuring compliance with relevant regulations and adhering to our AI security standard. Through robust organizational and technical controls, we strive to maintain the highest standards of transparency, accountability, and fairness in all our AI/ML initiatives.

                                      For further information or inquiries about Netskope’s AI policies, please contact the privacy team ([email protected]). Additional resources are also available via Netskope AI Labs and the Netskope Community.