By: Andy Ng, Vice President and Managing Director for Asia South and Pacific Region, Veritas Technologies

1. Dangers of ‘data laundering’ 

As generative AI (GenAI) revolutionises industries across Singapore, its insatiable demand for large volumes of high-quality training data is creating new opportunities for cybercriminals. A concerning trend known as “data laundering” is emerging, where stolen databases are repackaged and sold to legitimate organisations eager to fuel their AI models. The urgency to adopt GenAI and gain a competitive edge has created a perfect storm, making businesses more likely to purchase external data sources without thoroughly verifying their origins.

This rapid adoption raises significant concerns. According to a recent study, 58% of IT leaders warn that GenAI could expose their networks to cyber-attacks, and 81% expressed doubts about their network infrastructure’s capability to manage its data demands. As we move into 2025, it is imperative for organisations to stay vigilant against critical security vulnerabilities linked to unverified data or laundered data, or risk being susceptible to breaches and potential liabilities.

2. Minimise data collection

As organisations in Singapore embrace advanced data technologies, data minimisation is emerging as a critical differentiator and marketable commodity in privacy-conscious markets. With the increasing focus on synthetic data generation, as highlighted by Singapore’s Personal Data Protection Commission, businesses are exploring ways to achieve their objectives while reducing reliance on sensitive datasets. Practices like pseudonymisation, adding noise, and extracting only relevant attributes showcase how minimising data collection can enhance both privacy and innovation. By adopting these measures, organisations not only mitigate risks of breaches but also claim the moral high ground, differentiating themselves as champions of data privacy and sustainability to resonate with consumers and stakeholders alike.

3. The AI tipping point 

Broader regulation will mark a turning point for financial institutions in Singapore, accelerating AI adoption across the industry. The Monetary Authority of Singapore (MAS) is actively fostering AI adoption through initiatives such as the S$100 million Financial Sector Technology and Innovation Grant Scheme (FSTI 3.0), which funds AI innovation centres, industry-wide AI platforms, and enhanced risk management frameworks. However, as AI deployments scale across the financial sector, challenges remain – particularly in aligning regulatory standards, strengthening workforce training, and addressing compliance risks. 

The turning point will be governed GenAI deployments safeguarded against compliance risks. Clear and robust regulations will be essential to safeguard against compliance risks and foster growth, encouraging hesitant adopters to embrace AI. These frameworks will unlock high-impact innovations, ensuring trust, governance, and the full realisation of AI’s potential in the financial sector.

4. Hypervisor castaways 

As Singapore’s tech ecosystem continues to grow, the shift away from traditional hypervisors creates significant opportunities for local cloud and virtualisation providers. This trend not only fosters a more competitive environment but also encourages offerings tailored to meet the unique local regulatory needs.

“Hypervisor castaways,” organisations jumping ship en masse due to recent market shifts, will be on the lookout for a lifeboat. This will completely change the landscape, shifting the balance in the provider ecosystem, while also requiring organisations to adapt to a more heterogeneous environment. 

In Singapore, the adoption of hybrid cloud models has been particularly strong, with the public sector strategically shifting towards a “cloud smart” approach. Hybrid multi-cloud infrastructure deployments are forecasted to triple over the next one to three years as organisations face mounting pressures to modernise their IT infrastructures, driven by AI, security, and sustainability. 

5. Safe SaaS 

Data protection trends will again come full circle—this time for SaaS. Just as with cloud and Kubernetes, organisations have realised that no environment is inherently safe and that, if they want to be able to confidently and quickly restore their data, they need enterprise-grade, centralised data resilience. 

As Singapore continues to strengthen its digital economy and drive technological innovation, companies are placing greater priority on robust data protection strategies to ensure quick and reliable data recovery in case of disruptions. In fact, 97% of Singapore organisations acknowledge the need to improve ransomware protection, with 33% planning to significantly increase investment in this area.

As SaaS adoption grows across industries, both private and public sectors in Singapore are investing in solutions such as the implementation of zero-trust architecture as a key strategy to protect data integrity across multi-cloud and hybrid environments. These efforts underline the importance of centralised data resilience in managing and recovering critical business data in an increasingly complex IT landscape. 

6. Email goes cold 

As AI enables increasingly sophisticated ransomware and phishing schemes, some hyper-cautious organisations in Singapore may choose to re-evaluate the security of traditional email communications. In 2023, phishing attacks were up 30% compared to 2021 ,with threat actors exploiting AI-generated content to create emails designed to mimic trusted entities like banks or government agencies. These emails use real-time information to craft compelling scenarios, making them harder to detect. 

AI also accelerates spear phishing and business email compromise attacks, where cybercriminals collect and curate data about specific targets to craft highly convincing campaigns. This capability extends to phishing attacks, where deepfake audio can mimic trusted voices like a CFO requesting a bank transfer, making it harder to distinguish between legitimate and malicious communications. 

With over 4,100 phishing attempts reported in 2023, these advanced tactics pose significant threats, highlighting the need for stronger defences against AI-driven cyberattacks.