Software failures and security breaches aren’t just technical glitches anymore — they come with a massive price tag. IBM’s Cost of a Data Breach Report found that the average global cost of a data breach rose to $4.88 million in 2024, the highest it’s ever been.
Meanwhile, poor software quality cost the U.S. economy $2.41 trillion in one year, according to a landmark study by the Consortium for Information & Software Quality.
Globally, cybercrime is on an even more staggering trajectory—according to Cybersecurity Ventures, it is expected to hit $10.5 trillion annually by 2025.
Behind the scenes, QA (quality assurance) teams prevent these disasters. They find vulnerabilities before hackers do, catch flaws that could lead to financial meltdowns, and do all of this long before a customer even notices a thing.
The earlier these issues are caught, the cheaper they are to fix, according to Gopinath Kathiresan, an expert in software quality engineering and author of “Beyond the QE Code: The Science of AI-Driven Test Automation” where he explores the future of software testing through the lens of AI and innovation.