Why developers need a security companion for AI-generated code is because the speed of GenAI-enhanced development far exceeds that of traditional testing processes, leading to a mismatch where vulnerabilities are introduced into the code and developers trust this vulnerable code more than their manually created non-secure code. A study by Stanford University researchers found that 35.8% of Copilot-generated code snippets contain instances of common weaknesses, with significant diversity in security weaknesses relating to 42 different CWEs. Furthermore, developers using GenAI coding assistants are more likely to believe they wrote secure code than those without access to the AI assistant, due to a misplaced confidence in the speed being interpreted as skill. To address this modern security problem, a holistic approach is needed, including educating developers on how GenAI works, rethinking processes, and leveraging tools that can run invisibly and keep pace with developers while performing thorough and accurate checks. Snyk is an ideal tool for this use case, offering real-time security checks, interoperability, and integration into popular tools and workflows.