Page 178 - Cyber Defense eMagazine September 2025

Artificial Intelligence in the fintech sector is used for threat detection and prevention, the automation of
Incident Response (IR), fraud detection, risk assessment and vulnerability management, as well as
behavioral analysis of insider or external cyber threats.

Low-Code and No-code Development are fast rising in the contemporary Fintech industry, resolving
software development challenges. Low-code development platforms allow 61% of users to complete
custom applications on schedule, within budget, and according to requirements.

With features like drag-and-drop tools, pre-installed templates, and simplified interfaces, low-code
platforms have enhanced software development.

Edge Cloud Computing allows for data processing at the “edge” of the network, via the device or a local
server, reducing latency (Microsoft, 2025). In the fintech industry, Security and regulatory compliance
laws like GDPR and PCI-DSS enforcing strict data protection must be adhered to, and non-compliance
can result in significant fines and reputational harm.

Edge computing aids compliance by processing data locally and minimizing the need to transmit sensitive
information over networks. This approach enhances data security, supports compliance with data
residency rules, and lowers the risk of cyber threats.

The Realm of the Cloud in Fintech Operations

The transition to cloud-native environments has transformed how fintech companies operate by enabling
scalability, agility, and cost efficiency. However, this transformation has also increased the potential for

Cyber Defense eMagazine – September 2025 Edition 178
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