In a previous report, the International Data Corp. (IDC), a market intelligence firm, projected that 34% of organizations in the Asia-Pacific (Apac) region might increase their investments in generative artificial intelligence (GenAI) within the next 12 to 18 months.
However, in its latest report, IDC noted that concerns about data security have also risen alongside the growing use of GenAI in various initiatives and applications. Nearly 45% of organizations indicated they have security issues related to using GenAI in their operations.
“As GenAI initiatives evolve, data trust becomes the key to driving successful outcomes,” said Deepika Giri, head of Research, Big Data & AI, IDC Asia Pacific.
The main security concern is about supply chain disruptions and technology funding issues.
GenAI investments
The hype surrounding GenAI has fueled a surge in investments in this technology. While organizations recognize its potential to enhance business outcomes through improved productivity and automation, concerns about risk management persist.
According to IDC, over 96% of enterprises in the region are integrating GenAI into their security functions, leveraging its capabilities to sift through vast data volumes, identify emerging threats, and respond to security incidents in real-time. Given the sensitivity of the data involved, organizations prioritize data security when selecting software providers for GenAI. The associated risks make robust protection a top concern.
“However, as use cases become deeper and more specialized, such as in customer experience, the need for trusted, high-quality first-party data becomes the single biggest determinant of success, given that technology is uniform,” said Giri.
Organizations have also raised concerns about the fairness and reliability of AI algorithms, in addition to data security and trust, further complicating the landscape.
IDC recommends that companies prioritize cybersecurity and adopt a holistic approach to safeguarding their assets, ensuring that the impact of disruptions is minimized.