The digital transformation taking place across Indonesia’s banking industry in 2026 is not only creating significant business growth opportunities but also increasing the complexity of risks that banks must manage. Amid the rapid growth of digital transactions, which now reach billions of transactions every month, two technologies have emerged as the highest investment priorities for the national banking sector: Artificial Intelligence (AI) and Cybersecurity.
While previous phases of digital transformation focused primarily on developing digital channels such as mobile banking and internet banking, the industry’s attention has now shifted toward intelligently leveraging data while protecting the entire digital ecosystem. AI serves as the engine driving efficiency, personalization, and data-driven decision-making, while cybersecurity acts as the primary safeguard that maintains customer trust in digital financial systems.
For major banks such as BRI, BCA, Bank Mandiri, BNI, BTN, and an increasing number of digital banks, investment in AI and cybersecurity is no longer optional—it has become a strategic necessity for maintaining competitiveness in the digital economy.
Over the past five years, digital transactions in Indonesia have experienced exponential growth. The use of mobile banking, QRIS, internet banking, digital cards, virtual accounts, and various electronic payment channels continues to increase significantly.
This growth generates an enormous volume of data. Every customer transaction creates valuable information that can be used to understand customer behavior, identify risks, and develop new financial products.
However, as transaction volumes grow, so do the risks facing financial institutions. The most significant threats confronting the industry today include:
- Phishing attacks
- Malware
- Ransomware
- Account takeover
- Identity theft
- Data breaches
- Social engineering
- Digital fraud
Cybercriminals are increasingly utilizing advanced technologies, including AI, to target financial systems. As a result, banks are investing aggressively in more sophisticated defensive technologies to protect their customers and operations.
BRI’s AI Strategy for MSME Financing
As Indonesia’s leading bank in the micro, small, and medium enterprise (MSME) segment, BRI utilizes AI to improve lending quality and expand financial inclusion.
Digital transaction data, payment histories, and business activity information are analyzed to develop comprehensive customer risk profiles. This approach enables BRI to broaden access to financing while maintaining strong credit quality standards.
BCA and the Power of Data Analytics
BCA is widely recognized as one of Indonesia’s most customer-focused banks. Its investments in data analytics and AI enable the bank to:
- Better understand customer needs
- Optimize marketing efforts
- Reduce customer churn
- Improve cross-selling effectiveness
Through intelligent use of data, BCA can provide more relevant products and services to individual customers.
Bank Mandiri and the Development of Intelligent Banking
Bank Mandiri continues to advance its vision of intelligent banking. The objective is to build systems capable of:
- Learning from data
- Providing automated recommendations
- Optimizing operational processes
Through its Livin’ platform, customer data can be leveraged to deliver increasingly personalized banking experiences.
Editor: Rachmat Adhani (Business Development Manager Ocean Innovation)
