SQ

In our previous article, How Leaders Should Measure Success in AI-Driven Software Engineering, We argued that optimizing for the percentage of AI-generated code misses the point — what really matters is how fast and reliably organizations turn ideas into value. But saying “measure time-to-market” is easy. Doing it systematically is harder. Too often, teams chase a single KPI — like lead time or deployment frequency — and call it a success. The truth is that time-to-market isn’t a single number. It’s the result of balance: between how fast you deliver, how well you manage quality and risk, how efficiently work flows through your system, and how effectively you learn from customer feedback.

In 2024, cyberattacks surged by 16%, with ransomware posing the most immediate threat to critical infrastructure. Another report by Forescout Research – Vedere Labs highlighted that between January 2023 and January 2024, the world’s critical infrastructure had been attacked more than 420 million times, with attacks ranging in magnitude, indicating a 30% increase from 2022.

Cybersecurity isn’t just a concern anymore – it’s a major economic threat. Financial institutions within the European Union (EU) are prime targets, experiencing relentless attempts to compromise their systems.