#application-security

#application-security

AI-assisted developers produced three to four times more code than their unassisted peers, but also generated ten times more security issues. "Security issues" here doesn't mean exploitable vulnerabilities; rather, it covers a broad set of application risks, including added open source dependencies, insecure code patterns, exposed secrets, and cloud misconfigurations. As of June 2025, AI-generated code had introduced over 10,000 new "security findings" per month in Apiiro's repository data set, representing a 10x increase from December 2024, the biz said.

But hidden in there is a tiny flaw that explodes into a huge problem once it hits the cloud. Next thing you know, hackers are in, and your company is dealing with a mess that costs millions. Scary, right? In 2025, the average data breach hits businesses with a whopping $4.44 million bill globally. And guess what? A big chunk of these headaches comes from app security slip-ups, like web attacks that snag credentials and wreak havoc.

"Canonical is the number-one Cloud OS provider in the market with the Ubuntu containers, and VMware by Broadcom, with our VCF Foundation, is the number-one private cloud platform," said Prashanth Shenoy, VP of product marketing, VMware Cloud Foundation (VCF) division of Broadcom, during a media briefing. "So those two organizations coming together really helps our customers build Kubernetes-based modern applications."

Conducted by Dynata on behalf of Infragistics, a survey finds 90% of IT leaders are using AI tools in application development, with 71% not hiring developers lacking AI experience.

Application security is critical in a digital world, with security testing like SAST and DAST being essential for identifying vulnerabilities and enhancing security postures.