Legit Security has launched VibeGuard, the industry’s first application-security solution engineered to protect AI-generated code at the moment of creation and secure the coding agents behind it. With AI now driving development, traditional AppSec tools built for human-written code have become inadequate. VibeGuard integrates directly into developers’ IDEs and AI tools such as GitHub Copilot, Cursor and Windsurf to monitor the prompts, models, and third-party MCPs that feed the AI agents, inject application context into those agents, train them to code securely, block risky behaviors, and give AppSec teams unified visibility and governance across every AI coding environment. According to a survey of 117 security professionals by Legit and Gatepoint Research, 56 % reported that lack of visibility or control over AI-generated code is their top AppSec concern.
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“We’re at an inflection point in how software is built,” said Roni Fuchs, co-founder and CEO at Legit Security. “Code is no longer written line-by-line by humans – it’s generated by machines. With VibeGuard, we’re not just launching a new product, we’re defining what it means to secure AI-native development. AI is transforming software creation, and for the first time in history, we have a real opportunity to create software that’s truly secure – by design.” Reflecting the shift in the field, Nir Yizhak, CISO & VP at Firebolt, added: “AI has completely changed the game for application development. Our engineering teams are writing code and building apps faster than ever – most of the time assisted by AI. We see AI-powered development as a huge opportunity, particularly when it comes to delivering code that is clean and secure from the start. I’m excited to see Legit take this big step forward in delivering capabilities that will help us greatly reduce risk while at the same time ensuring fast code delivery.” With VibeGuard, Legit Security asserts it has moved AppSec from a reactive, scanning-after-the-fact model to a proactive, built-in security paradigm aligned with AI-native software creation.
