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PodChats for FutureCISO: Securing the new frontier with generative AI

CXOCIETY | FutureCIO FutureCFO FutureIoT Season 5

As we enter a new era defined by rapid advancements in generative AI, the landscape of cybersecurity is evolving at an unprecedented pace. These powerful tools, capable of creating content and automating tasks, present both opportunities and significant risks for organizations across Asia. 

With the potential for misuse in generating deepfakes, phishing attacks, and automated malware, cybersecurity leaders must prioritize robust strategies to safeguard their digital environments. Emphasizing a proactive approach that includes continuous monitoring, employee training, and the implementation of AI-driven security solutions will be crucial. In this dynamic environment, fostering collaboration between technology developers and cybersecurity professionals will ensure that the benefits of generative AI are harnessed responsibly, allowing organizations to thrive while minimizing vulnerabilities.

In this PodChats for FutureCISO, Terry Ray, Data Security CTO and Fellow at Imperva, shares his perspective on how to secure the new frontier with generative AI in 2025 and beyond.

1.       We’ve heard snippets of warnings. Perhaps you can elaborate more on the potential risks associated with the misuse of generative AI among organizations in Asia?

2.       Can you share one or two best practices for assessing the effectiveness of existing security measures against AI-driven attacks?

3.       In Asia, how do you see regulations and compliance requirements evolving concerning generative AI and data security?

4.       For organisations in Asia regardless of size, what remains as key challenges with the rise of AI as a cybersecurity tool to protect against cyberattacks?

5.       What are available options for organisations to ensure the integrity of data used to train generative AI models?

6.       Specific to data protection strategies, what role will generative AI play in incident response plans?

7.       What incident response case studies exist that highlight generative AI threats, and what can we learn from them?

8.       Speaking of phishing, malwares and hyper targeting, what ethical considerations should CIOs and CISOs account for when deploying generative AI in security operations?

9.       How will the adoption of generative AI affect organisations’ overall cybersecurity budget and resource allocation?

10.   Any final thoughts for AI in cybersecurity in 2025?