Executive summary 4 This whitepaper explores how Zero Trust Rapidly update security strategy helps you navigate the security challenges Organizations must quickly adapt their and opportunities presented by AI so you security strategy because of the rapid can build a resilient and innovative digital adoption of GenAI by both attackers and infrastructure. Note that these learnings business teams. generally apply to multiple types of AI capabilities (including machine learning) AI increases focus on data but this paper primarily focuses on GenAI AI is fundamentally a data analysis and because of its power, popularity, and direct generation technology, so the quality and interaction with end users. security of AI applications is heavily reliant Key takeaways for AI Security on the quality, lineage, classification, and protection of the underlying data. and Zero Trust Securing AI is a shared responsibility with While the security implications of AI are the organization’s provider still emerging space, several learnings AI technology, like cloud technology, is most have become crystal clear. This whitepaper often a partnership with the provider that describes those key learnings: requires each partner to work on different aspects of security. It is crucial to learn this Zero Trust and AI have a symbiotic shared responsibility model and plan your relationship where they depend on each other security investments around it to effectively • AI requires Zero Trust, using an asset- mitigate AI security risks. centric and data-centric approach to secure both AI applications and their Security controls need to be adapted to AI underlying data, as opposed to relying on Most existing security controls are built for a traditional network perimeter-centric classic deterministic computing that generates security model. the exact same output for the same request • AI accelerates Zero Trust security each time. Many AI technologies dynamically modernization by enhancing security generate new outputs each time, which automation, offering deep insights, requires updating existing security controls providing on-demand expertise, speeding and introducing new ones to be effective. up human learning, and more. The guidance in this whitepaper is designed to help you navigate the continuous changes posed by AI, capitalize on the opportunities, and manage the security risks and challenges.