The pressure to ship software faster to meet market demands is compromising security in a big way. As cyber criminals find ways to use the glaring disconnect between developers and security policies, companies consider security a necessity rather than a compliance measure. As a result, 2022 studies show that 68% of companies are shifting towards security and making developers share responsibility for a secure software development lifecycle.

A security violation in the form of a data breach can create costly damage to a company's reputation. But what exactly is a data breach? The European Commission has divided data breaches into three distinct categories — confidentiality breaches, integrity breaches, and availability breaches: In this article, you'll learn more about what a data breach is and how you can prevent data breaches when designing and developing your software.

The landscape of application development is constantly evolving, driven by technological advancements and changing user demands. Over the past few years, we have witnessed the rise of generative AI, the “shift left” approach, and the increasing prominence of low-code/no-code development.

The new partnership enables Snyk and GitGuardian to build, integrate and go to market together to help development and security teams scale their security programs and significantly reduce their applications' attack surface at every stage of the code-to-cloud lifecycle.

As developers, we’re constantly under pressure to innovate at speed. In 2022, 60% of developers who responded to a GitLab survey acknowledged that code is moving to production at an increasingly faster clip–up to five times faster than in previous years. But juggling tight deadlines with ever-evolving security threats is no joke. When prioritizing speed, unsafe code eventually slips into production.

Yes, AI chatbots can write code very fast, but you still need human oversight and security testing in your AppSec program. Chatbots are taking the tech world and the rest of the world by storm—for good reason. Artificial intelligence (AI) large language model (LLM) tools can write things in seconds that would take humans hours or days—everything from research papers to poems to press releases, and yes, to computer code in multiple programming languages.