Building real-time risk engines on telco networks

BFSI firms are redesigning risk systems using AI, blockchain, and low-latency networks to enable real-time fraud prevention and compliance.

- BY ROHIT GORE

The construct of risk and resilience in the financial services landscape is evolving rapidly. Today, the BFSI industry has entered a phase in which risk management cannot be solely based on static controls or traditional data models. The global risk landscape has swiftly expanded from cyberattacks and geopolitical volatility to the more subtle ethical challenges of artificial intelligence, exponentially increasing the impact of data privacy breaches.

In response, a quiet revolution is taking place: a movement towards what is being called Risk Management 4.0, marking a shift from static, isolated controls and audit-based oversight to dynamic, real-time ecosystems. In the emerging realm, predictive analytics and blockchain technologies operate synergistically to enable autonomous, accountable, and adaptive risk management frameworks that are resilient to modern threats and complexities.

Organisations are exploring strategic, technology-enabled risk frameworks that bring tangible impact in their risk anticipation and mitigation lifecycles. Fundamentally, this transformation rests on a synergy between Agentic AI and blockchain technologies, which is helping redefine risk management for financial institutions. The historical reliance on isolated legacy systems, characterised by static, batch processing, has given way to a cloud-native data environment. Integrated with AI, this environment has established an ecosystem in which data, algorithmic decisions, and risk controls no longer operate sequentially but interact continuously in real time.

Telecom providers are embedding Al, edge, and secure links into networks, reshaping how BFSI firms process and respond to risk signals.

TELECOM INFRASTRUCTURE: A KEY ENABLER