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Generative AI (GenAI) as a technology has redefined how we look at and absorb information in the modern age. The ability to prompt models like ChatGPT, Claude, Gemini, etc., and receive structured human-like responses is a game changer for every industry, with cybersecurity being no exception. CISOs have already started experimenting with GenAI use cases such as analyzing log data, customized training, and generating executive-level reports. At the same time, cybercriminals have also weaponized GenAI as a tool for deepfakes and polymorphic malware, automating their attacks even further than before. In 2024, an employee at a multinational corporation transferred $25 million to scammers who used deepfake technology to impersonate the company’s Chief Financial Officer during a video call (CNN. (2024, February). Finance worker pays out $25 million after video call with deepfake ‘chief financial officer’. CNN. Retrieved from https://edition.cnn.com/2024/02/04/asia/deepfake-cfo-scam-hong-kong-intl-hnk/index.html ). This shift is not just in technology but also strategic and requires a relook at how we have traditionally approached cybersecurity, particularly cloud security. The security of the cloud and its workloads is still in its maturity phase as a discipline, with organizations often underestimating the complexity and work required for securing environments like Amazon Web Services, Azure, and Google Cloud. GenAI in particular has emerged as a double-edged sword, increasing productivity while at the same time lowering the entry bar for cybercriminals to launch attacks targeting the cloud. In this chapter, we take an in-depth look at how we must revisit the very foundations of cloud security in the wake of GenAI as these models catch up to and overtake humans in areas like code development, log analysis, and vulnerability detection. We will take a detailed look at: By the end of this chapter, you will understand the risk implications of GenAI within cloud security and how to integrate it to enhance your existing cloud security processes.

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Cloud Security in the Age of Generative AI

  • 章节

  • 发表日期：

    2026年

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  • Aparna Achanta

摘要

Generative AI (GenAI) as a technology has redefined how we look at and absorb information in the modern age. The ability to prompt models like ChatGPT, Claude, Gemini, etc., and receive structured human-like responses is a game changer for every industry, with cybersecurity being no exception. CISOs have already started experimenting with GenAI use cases such as analyzing log data, customized training, and generating executive-level reports. At the same time, cybercriminals have also weaponized GenAI as a tool for deepfakes and polymorphic malware, automating their attacks even further than before. In 2024, an employee at a multinational corporation transferred $25 million to scammers who used deepfake technology to impersonate the company’s Chief Financial Officer during a video call (CNN. (2024, February). Finance worker pays out $25 million after video call with deepfake ‘chief financial officer’. CNN. Retrieved from https://edition.cnn.com/2024/02/04/asia/deepfake-cfo-scam-hong-kong-intl-hnk/index.html ). This shift is not just in technology but also strategic and requires a relook at how we have traditionally approached cybersecurity, particularly cloud security. The security of the cloud and its workloads is still in its maturity phase as a discipline, with organizations often underestimating the complexity and work required for securing environments like Amazon Web Services, Azure, and Google Cloud. GenAI in particular has emerged as a double-edged sword, increasing productivity while at the same time lowering the entry bar for cybercriminals to launch attacks targeting the cloud. In this chapter, we take an in-depth look at how we must revisit the very foundations of cloud security in the wake of GenAI as these models catch up to and overtake humans in areas like code development, log analysis, and vulnerability detection. We will take a detailed look at: By the end of this chapter, you will understand the risk implications of GenAI within cloud security and how to integrate it to enhance your existing cloud security processes.