{"id":40497,"date":"2024-10-21T10:00:00","date_gmt":"2024-10-21T09:00:00","guid":{"rendered":"https:\/\/www.intelligentcio.com\/apac\/?p=40497"},"modified":"2026-07-06T15:30:45","modified_gmt":"2026-07-06T14:30:45","slug":"ai-is-no-flavour-of-the-month-we-have-to-get-this-right","status":"publish","type":"post","link":"https:\/\/www.intelligentcio.com\/apac\/2024\/10\/21\/ai-is-no-flavour-of-the-month-we-have-to-get-this-right\/","title":{"rendered":"AI is no \u2018flavour of the month\u2019. We have to get this right"},"content":{"rendered":"\n

Jason Baden, Regional Vice President A\/NZ, F5, says adopting GenAI solutions means navigating a \u2018cyber minefield\u2019.<\/em><\/p>\n\n\n\n

It is exceedingly rare to achieve global agreement on anything. With Artificial Intelligence (AI), however, it seems an international consensus has been reached acknowledging it will reshape the world as we know it. Australia, despite previously lagging in adoption of AI technologies, is kicking into gear.<\/p>\n\n\n\n

To be as prepared for the changing future as possible, the Senate established the Select Committee on Adopting Artificial Intelligent <\/em>to \u201cinquire into and report on the opportunities and impacts for Australia arising out of the uptake of AI technologies in Australia.\u201d <\/p>\n\n\n\n

The report to Parliament couldn\u2019t come soon enough as organisations, small and large, are chomping at the bit to explore the endless possibilities of AI.<\/p>\n\n\n\n

While there are many flavours of AI, the one on everyone\u2019s lips is Generative AI (GenAI).<\/p>\n\n\n\n

As GenAI models like ChatGPT, Bard and Co-Pilot continue to grow, organisations across the economic spectrum are exploring the expanding capabilities.<\/p>\n\n\n\n

The promise of these advanced AI systems is undeniable, offering unprecedented opportunities for automation, innovation, and efficiency. From content creation, to enhanced customer support automation and code generation, organisations are incorporating GenAI into workflows as a force multiplier to help gain competitive advantage.<\/p>\n\n\n\n

However, as companies embark on using, or even building their own, GenAI solutions, they must also navigate a cyber minefield filled with challenges. <\/p>\n\n\n\n

Infrastructure fit for demand<\/strong><\/p>\n\n\n\n

While it may seem like powerful magic, GenAI leverages much of the same infrastructure, interfaces, and software components as traditional workloads \u2013 but at an incredibly higher rate. As a result, it not only shares many of the traditional IT risks but magnifies them. Success will require reliable, high-performing, and secure infrastructure, along with robust application security. <\/p>\n\n\n\n

One of the most immediate challenges organisations will face when deploying GenAI models is the surge in traffic and corresponding increase in data volume. As more users interact with these algorithms, the volume of data being processed, stored, transmitted and analysed grows exponentially.<\/p>\n\n\n\n

GenAI applications are data-hungry by nature, requiring vast amounts of information to learn, adapt and generate accurate responses. This influx of data can strain existing resources, leading to bottlenecks and performance issues. Organisations need to invest in scalable infrastructure that can adjust to varying levels of demand to ensure the systems can handle the load \u2013 without compromising on performance or user experience.<\/p>\n\n\n\n

A foundation of security<\/strong><\/p>\n\n\n\n

Billions of apps and application programming interfaces (APIs) power the digital experiences we use every day, such as online banking, shopping, social media and more. As organisations set out to revolutionise these experiences with GenAI, these already complex environments become even more so.<\/p>\n\n\n\n

Perhaps most importantly of all, this brings with it a far greater surface area for cyber attackers to exploit. When combined with the massive increase in data volumes, data security must be a priority. Depending on the application, GenAI models often deal with sensitive and personal information, making them prime targets for cyberattacks. Ensuring the confidentiality, integrity and availability of data is paramount.<\/p>\n\n\n\n

In a recent survey, more than half of cloud decision makers identified the security of AI models as a primary concern, second only to the cost of implementation. To address this, enterprise leaders expect to increase spending on security by 44 percent over the next few years as they scale deployments.<\/p>\n\n\n\n

The foundation of application security lies in secure development practices. Implementing secure coding guidelines and conducting regular security training for development teams can help mitigate the risk of introducing vulnerabilities during the development process.<\/p>\n\n\n\n

Before deploying GenAI applications, organisations should conduct thorough threat modelling and risk assessments. By understanding the specific risks, organisations can tailor security strategies to address the most critical vulnerabilities.<\/p>\n\n\n\n

Given GenAI\u2019s dynamic nature, continuous monitoring is essential to detect and respond to security incidents in real time. Organisations should deploy advanced monitoring tools that can identify unusual patterns of behaviour, potential breaches, and other security anomalies. Coupled with a robust incident response plan, this enables organisations to quickly contain, remediate, and minimise potential damage.<\/p>\n\n\n\n

Data governance and privacy is one of the most important areas of security in the context of GenAI. Organisations must establish clear policies and procedures for data handling, ensuring compliance with relevant regulations. And importantly, those procedures must be simple to update as the legislative landscape is quickly evolving. This includes obtaining proper consent for data collection and ensuring that data is used only for its intended purpose.<\/p>\n\n\n\n

As more and more organisations build out their GenAI capabilities, application security must be viewed as a fundamental pillar of the strategy. The unique nature of GenAI models, which continuously learn and adapt, presents distinct security challenges that require specialised solutions \u2013 it\u2019s not a one-size-fits-all.<\/p>\n\n\n\n

The tech industry is prone to buzz and hype, but AI is no \u2018flavour of the month\u2019. If Australia is to continue to gain ground in the global AI race, application security must be step one, because this one is here to stay.<\/p>\n","protected":false},"excerpt":{"rendered":"

Jason Baden, Regional Vice President A\/NZ, F5, says adopting GenAI solutions means navigating a \u2018cyber minefield\u2019. It is exceedingly rare to achieve global agreement on anything. With Artificial Intelligence (AI), however, it seems an international consensus has been reached acknowledging it will reshape the world as we know it. Australia, despite previously lagging in adoption […]<\/p>\n","protected":false},"author":58,"featured_media":40498,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[7027,1272,51,55,1282,44,54],"tags":[1108,7175,249,2904],"class_list":["post-40497","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-intelligent-technologies-ai","category-expert-voice","category-intelligent-technology-newsletter","category-oceania","category-tech-trends","category-top-stories","category-used","tag-ai","tag-expert-voice","tag-f5","tag-tech-trends"],"acf":[],"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/www.intelligentcio.com\/apac\/wp-json\/wp\/v2\/posts\/40497","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.intelligentcio.com\/apac\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.intelligentcio.com\/apac\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.intelligentcio.com\/apac\/wp-json\/wp\/v2\/users\/58"}],"replies":[{"embeddable":true,"href":"https:\/\/www.intelligentcio.com\/apac\/wp-json\/wp\/v2\/comments?post=40497"}],"version-history":[{"count":2,"href":"https:\/\/www.intelligentcio.com\/apac\/wp-json\/wp\/v2\/posts\/40497\/revisions"}],"predecessor-version":[{"id":40648,"href":"https:\/\/www.intelligentcio.com\/apac\/wp-json\/wp\/v2\/posts\/40497\/revisions\/40648"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.intelligentcio.com\/apac\/wp-json\/wp\/v2\/media\/40498"}],"wp:attachment":[{"href":"https:\/\/www.intelligentcio.com\/apac\/wp-json\/wp\/v2\/media?parent=40497"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.intelligentcio.com\/apac\/wp-json\/wp\/v2\/categories?post=40497"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.intelligentcio.com\/apac\/wp-json\/wp\/v2\/tags?post=40497"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}