Jakarta, 28 April 2026 — Indonesia’s financial services industry is entering a new phase of digital risk as generative AI moves from experimentation to real-world fraud. This issue took centre stage at the AFTECH Expert Lab, “AI, Risk, and Regulation in Financial Services: Navigating Deepfake Challenges in Indonesia’s Digital Economy,” held at The Westin Jakarta in collaboration with Advance AI.
The forum brought together regulators, fintech leaders, digital banks, risk practitioners and technology experts to address a critical question: how can Indonesia continue to expand digital financial innovation while preventing deepfake-enabled identity fraud from weakening trust in the system?
In the panel discussion, Arief Kusuma, Director of Business Development at KORIKA, highlighted that the threat landscape has moved beyond conventional cyber fraud. Deepfake audio and video, synthetic identity, and AI-generated biometric manipulation are no longer distant risks. They are becoming operational issues for banks, fintech platforms and digital onboarding processes.
Arief underlined that Indonesia must treat AI risk as an ecosystem agenda, not merely as a technology procurement issue. As AI evolves from analytical AI to generative AI and, soon, agentic AI, financial institutions will need stronger infrastructure, more adaptive detection capabilities, and clearer governance standards. In his view, the industry cannot rely only on rule-based controls or legacy liveness detection when attackers are already using AI to learn, adapt and bypass static defences.
A key point from KORIKA’s perspective was the need for ethical and standardised AI defence. Anti-spoofing and deepfake detection tools must be robust, but they must also be fair across Indonesia’s demographic diversity. Bias in algorithmic detection can create both customer exclusion and regulatory exposure. For banks and fintech companies, this makes AI governance inseparable from consumer protection, operational resilience and data protection obligations.
Arief also stressed the importance of building national capability. Indonesia should not remain only a consumer of foreign AI security products. The country needs stronger local R&D, better AI and cyber talent pipelines, and closer collaboration among regulators, industry, academia and technology providers. AI-driven attacks require AI-driven defence, but that defence must be supported by local knowledge, local testing and local accountability.
The discussion is highly relevant for OJK, Bank Indonesia, bank CEOs, CXOs and commissioners as the financial sector faces a sharper trade-off between seamless customer experience and stronger fraud prevention. The strategic answer is not to slow innovation, but to govern it better. Digital onboarding, e-KYC, biometric verification and fraud monitoring must be designed as living systems that continuously learn from new attack patterns.
The AFTECH Expert Lab reinforced one clear message: Indonesia’s digital economy can only scale safely if innovation, regulation and risk management move at the same speed. In the deepfake era, trust will become the most valuable financial infrastructure.
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