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Building technology resilience for real-time compliance

Real-time compliance requires technology resilience. Learn why financial institutions must build scalable, adaptive, and secure technology foundations to stay ahead of evolving risks.

Noel King
December 4, 2025

In today’s digital landscape, resilience has become the defining quality of successful organisations. Organisations gain agility from relying on third parties for integral operations such as cloud infrastructure, however this opens up new vectors for risk. Economic uncertainty, cyber threats, and rapidly changing technologies are shaping the risk landscape for CIOs, and compliance teams at financial institutions feel this acutely.  

According to the World Economic Forum’s Global Risks Report 2024, resilience preparation must be a central focus for organisations in the next decade. As the global digital landscape grows in complexity and the reliance of third-party technology providers deepens, the need for transparency, adaptability, and operational integrity becomes paramount. The EU’s Digital Operational Resilience Act (DORA) underscores this urgency, mandating that financial institutions build and prove operational resilience across their entire digital supply chain – from internal systems to third-party service providers.

What does this mean for financial institutions and other financially regulated entities? It is not just about surviving disruption, it's about thriving by creating a competitive edge. Resilient organisations understand their dependencies, respond intelligently to risk, and use it as a springboard for innovation.

From batch to real-time

Financial institutions are transforming fast – core operations like digital banking and instant payments are now API-driven and happen in milliseconds. In 2025 and beyond, cybersecurity remains a top priority for CIOs, and many financial institutions are expanding their view from traditional FRAML to a broader, integrated cyber and financial crime risk landscape. Yet despite this convergence, AML teams often operate with more constraints – bound by fragmented rule sets and heightened demands for transparency and explainability that their cyber and fraud counterparts may not face. This can leave compliance teams the back foot of other parts of the organisation, bound to legacy systems.  

This gap comes at a cost. It increases risk exposure, slows response times and drives up the total cost of compliance. But not only does this cost money. As discussed in the Napier AI / AML Index 2025-2026, compliance is not just a cost centre, or a tool to reduce false positives and automate SARs – it is an enabler of resilience, scalability, and a competitive advantage for financial institutions.

Regulators are expecting real-time risk management, and technology teams need API-driven, low latency solutions. This means compliance technology must be as agile and connected as the systems it protects.  

Redefining resilience, and compliance

Gartner defines resilience as “the ability of an organisation to withstand, absorb, recover from, and adapt to business disruption in an ever-changing and increasingly complex environment, allowing it to achieve its objectives and thrive.”

For financial institutions, that definition has never been more relevant. The complexity of modern financial ecosystems – multi-cloud environments, instant payments, regulatory pressure, and cyber risk – means resilience must be engineered into the technology fabric, not added as an afterthought.

  1. Anticipate and mitigate disruption before it happens

Resilient organisations are less likely to suffer disruption because they understand their dependencies and proactively manage points of failure.

In financial crime compliance, this means building robust, scalable, and secure architecture that continues to perform even under stress – for example, during transaction spikes or major regulatory events.

  • Napier AI enables this with cloud-native, high-availability infrastructure and sub-100ms API performance, ensuring screening and monitoring never become bottlenecks.
  • Real-time data ingestion and anomaly detection allow financial institutions to spot issues and threats early, before they escalate into compliance or operational failures.

  1. Maintain continuity during disruption

When disruption occurs – whether from a cyber incident, data outage, or regulatory change – resilient organisations maintain continuity through built-in adaptability.
Napier AI’s API-first design means compliance processes can continue running even if part of the ecosystem is disrupted.

  • All AI models and data processing remain fully contained within each customer’s private environment – whether cloud or on-premise – ensuring that sensitive data never leaves their control and can continue operating securely even when external systems fail.
  • Modular microservices architecture allows individual components to be updated, scaled, or restarted without impacting the rest of the system, maintaining uptime and transaction throughput even under stress.

  1. Respond quickly and effectively

Recovery is not just about returning to normal – it’s about doing so faster and more intelligently.  

  • Scalability built into client screening, with the capability to do 100 million screens in six hours, meaning a delta screen can be done overnight with no disruption.
  • Built-in monitoring and automated load balancing enable the platform to reallocate resources dynamically, sustaining performance during spikes in transaction or alert volumes.
  • Napier AI’s end-to-end audit trail provides total observability across every rule, model, and user action, allowing compliance teams to identify, isolate, and remediate issues without disruption to other workflows. This kind of recovery capability not only reduces operational downtime but also mitigates reputational risk.

  1. Evolve faster than the threat landscape

True resilience is about adapting continuously, transforming lessons learned into improved performance and readiness for what’s next.

Napier AI’s NextGen compliance platform is designed for continuous adaptation:

  • Low-code configuration and self-service model tuning allow institutions to adjust risk thresholds or introduce new typologies in real time.
  • The integrated sandbox allows teams to safely test and validate how rule or model changes would behave if something shifts in production, without risking live operations.
  • Ongoing collaboration with regulators, including work with the UK’s Financial Conduct Authority (FCA) and the Alan Turing Institute, ensures Napier AI’s models are tested against realistic synthetic datasets, validating resilience and compliance under real-world conditions.

Turning resilience into a competitive advantage

Resilience is no longer a defence, it’s an investment in strategic advantage and operational scalability. Institutions that embed resilience into their compliance architecture gain agility, reduce cost, and position themselves to seize new opportunities faster.  

Organisations that embed AI-powered AML capabilities at the core of their operations are best placed to respond to evolving threats with speed, accuracy at scale. But, it's not all about the technology, rather the approach. The industry needs right-sized, trustworthy AI-powered solutions that deliver measurable efficiency gains from day one, without adding complexity.

Learn more about NextGen compliance in the Napier AI / AML Index

Noel King is Napier AI's Chief Technology Officer. With over two decades of experience leading businesses in financial services, EdTech, logistics and consultancy services, Noel's speciality lies in transforming technology teams and increasing customer experience. Noel was voted Irish Technology Person of the Year 2018.