But ultimately, this is all the result of bad software, ridden with vulnerabilities. "We don't have a cybersecurity problem. We have a software quality problem," she said. The main reason for this was software vendors' prioritization of speed to market and reducing cost over safety. AI is making attackers more capable, helping them create stealthier malware and "hyper-personalized phishing," and also to spot and surface vulnerabilities and flaws more quickly.
When it comes to software, we like to pretend that quality is a number. Dashboards stand in for judgment, A/B tests stand in for taste, and leaders try to will excellence into existence with reviews and mandates. But in today's software market, confusing a KPI with quality isn't just naive; it's fatal. Consumers' attention spans are short, but their expectations are higher than ever; if your product fails to solve a real problem in an elegant way, you don't get a second chance.