It is said that the best-run organisations prioritize cybersecurity spending as a business decision first. Gartner’s Hype Cycle for Data Security 2023 reflects the increasing dominance of this approach. As key technologies needed for assessing and quantifying cloud risk mature, we see the continuing emergence of new technologies purpose-built to protect against emerging threats that inevitably arise along these new technologies. One such is data immutability – a concept that grew in prominence with the invention of blockchain technology in 2008. The concept has since gained traction outside of the confines of its origin including in data protection and cybersecurity. So, what is data immutability? How does it impact organisations under regulatory compliance?In this PodChats for FutureCISO, Martin Creighan, vice president of Asia Pacific at Commvault, sheds light on the topic.1. What do you mean by data immutability?2. Why are organisations evolving towards data immutability?3. How can AI be used to detect and prevent ransomware attacks and enhance data immutability within an organization's data infrastructure?4. In what ways can AI be utilized to identify and flag any attempts to alter immutable data, thus providing a defence against ransomware attacks?5. How can the integration of AI and data immutability technologies help organizations recover from ransomware attacks and ensure that their data remains secure and unaltered?6. What are the potential benefits of combining AI-driven threat detection with data immutability to mitigate the impact of ransomware attacks on an organization's data assets?7. 2024 is just around the corner. How do you see AI and data immutability evolve in terms of adoption or integration given that cyberattacks will continue to rise in velocity and ingenuity?

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