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Navigating the GenAI Security Landscape

In: Generative AI Security

Author

Listed:
  • Ken Huang

    (DistributedApps.ai)

  • Jyoti Ponnapalli

    (Truist)

  • Jeff Tantsura

    (Nvidia)

  • Kevin T. Shin

    (Samsung Semiconductor)

Abstract

This chapter provides a high-level exploration of the security implications surrounding GenAI in the modern technological landscape. It begins with an examination of the rise of GenAI, emphasizing its innovative capacities while underscoring the novel security challenges and responsibilities that have emerged. The chapter discusses the new threat landscape of GenAI, including the need for diligent navigation, robust measures to protect against risks, ethical dimensions, and regulatory compliance. The role of governance, transparency, and the pressing need for a collaborative approach between technology and business teams is highlighted. Special attention is given to the roadmap for Chief Information Security Officers (CISOs) and business leaders, as well as an in-depth analysis of the impact on cybersecurity professionals. Serving as a foundational component, this chapter lays the groundwork for a comprehensive understanding of GenAI security topics, setting the stage for the more detailed discussions that follow in the subsequent chapters of this book.

Suggested Citation

Handle: RePEc:spr:fuobcp:978-3-031-54252-7_2
DOI: 10.1007/978-3-031-54252-7_2
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