This discussion is focused around the use of AI tools for the purpose of increasing developer output, to ultimately increase delivery speed. It is important to differentiate between two types of coding that resorts to AI tools.
The most important questions about trading platform resilience rarely arise during calm periods – they tend to surface after a production incident, a regulatory audit or a major platform upgrade. These events serve as a reminder of the complex behaviour that financial systems can exhibit under real market conditions.
Financial markets have long relied on technology to be fast, resilient, and trustworthy – for compliance purposes, but also due to a shared understanding of the systemic impact of financial instability in interconnected infrastructure. Matching engines, market data, and clearing and settlement systems undergo rigorous testing because livelihoods, economies, and market integrity depend on them. With AI-enabled systems becoming embedded in enterprise-level tasks – across sectors, but in finance in particular – the safety guardrails should be as strong as ever, if not stronger.
As technological and regulatory innovation accelerates in financial services, software testing firms have a unique opportunity to move from compliance-driven assurance to showcasing their expertise at the heart of digital experimentation. In the white paper 'Test, collaborate, lead: turning industry engagement into a strategic advantage', Exactpro’s Alyona Bulda explores how participation in initiatives such as PoCs, hackathons and calls for public consultation offers a high-return investment in visibility, capability and market relevance. While weighing the strategic pros and cons, Alyona outlines why software testing and other IT companies should leverage these opportunities.
