Build Your Security Program for GenAI

Ken Huang (), John Yeoh (), Sean Wright () and Henry Wang ()
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Ken Huang: DistributedApps.ai
John Yeoh: Cloud Security Alliance
Sean Wright: Universal Music Group
Henry Wang: LingoAI.io

Chapter Chapter 4 in Generative AI Security, 2024, pp 99-132 from Springer

Abstract: Abstract This chapter explores policies, processes, and procedures to build a robust security program tailored for GenAI models and applications. It discusses key policy elements like goals, risk management, compliance, consequences, and priority areas focused on model integrity, data privacy, resilience to attacks, and regulatory adherence. The chapter also covers specialized processes for GenAI across risk management, development cycles, and access governance. Additionally, it provides details on security procedures for access control, operations, and data management in GenAI systems. Centralized, semi-centralized, and decentralized governance structures for GenAI security are also analyzed. Helpful framework resources including MITRE ATT&CK’s ATLAS Matrix, AI vulnerability databases, the Frontier Model Forum, Cloud Security Alliance initiatives, and OWASP’s Top 10 LLM Application risks are highlighted.

Keywords: GenAI security program; GenAI security; GenAI security policy; GenAI risk management; GenAI access governance; GenAI operational procedures; GenAI data management; AI vulnerability database; Frontier Model Forum; Cloud Security Alliance; OWASP; NIST (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:fuobcp:978-3-031-54252-7_4

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DOI: 10.1007/978-3-031-54252-7_4

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