VibeGuard: Secure AI Code, Agents and Workflows for Enterprise Development

Secure Code From the Start

AI assistants now generate, test and deploy code dramatically faster, transforming development velocity while introducing critical security gaps. VibeGuard from Legit secures AI code, agents and workflows at generation.

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Traditional AppSec Lags Behind AI Development

AI-coding tools like GitHub Copilot, Cursor and Claude Code are accelerating code delivery, but your security stack wasn't built for AI velocity. Here is what's breaking down:

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Scans Happen After Damage is Done

Conventional tools test code after it hits source control, forcing expensive remediation cycles that kill momentum and frustrate developers.

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New Attack Vectors Go Undetected

AI assistants connect to external models and servers, creating supply chain risks your current legacy scanners can't see.

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Alert Overload Paralyzes Security Teams

Faster code output means substantially more findings, burying critical vulnerabilities under false positives while backlogs spiral out of control.

Why VibeGuard

Legit VibeGuard is the industry’s first AI-native solution purpose-built to deliver secure AI code from the start. Legit VibeGuard analyzes newly generated code in real-time to detect, fix & prevent vulnerabilities, and governs the fleet of AI coding agents to prevent attacks.

Secure code at the source - before vulnerabilities enter your SCM.
Govern the AI agents that power your software development programs.
Gain unified visibility and control across your AI-native SDLC.

AI Code Security for Enterprise

VibeGuard embeds protection directly into developer environments, analyzing AI behavior in real time and blocking threats instantly.

By directly integrating Legit with your developers’ AI IDEs and AI code assistants – such as Cursor, Windsurf, and GitHub Copilot – plus into your main code base, you can ensure code is secure from the start and AI agents are trained to deliver secure code. You also protect the use of coding agents and govern your growing fleet of AI coders.

Catch Vulnerabilities as AI Writes Code

Run SAST and SCA scans inside the IDE, flagging injection flaws, dependency risks and misconfigurations the second AI suggests them. Developers fix issues in seconds without leaving their workspace, eliminating the costly back-and-forth that traditional security creates.

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Guide AI Assistants to Write Secure AI-Generated Code

Attach security instruction files directly to coding assistants, embedding your organization's secure development standards into every line AI generates. Define requirements for each technology stack and automatically enforce compliance, without manual reviews slowing releases.

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Control Every AI Tool Developers Use

Discover all coding assistants, models and MCP servers running across your engineering org. Evaluate risk scores, approve trusted tools and block vulnerable components, shutting down shadow AI before it creates exposure.

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Block Compromised AI Components

Identify potentially malicious models, risky integrations and unsafe configurations in real time. Enforce centralized policies that prevent unauthorized AI tools from touching your codebase and alert teams when developers enable unrestricted assistant modes.

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Stop Secrets From Leaking to AI

Restrict which files AI assistants can access during code generation. Block environment configs, credential stores and sensitive directories where secrets live, preventing accidental exposure through AI context sharing.

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Trust the AI-Native AppSec Solution That Developers Actually Use

VibeGuard protects against:

Vulnerable Code Patterns

VibeGuard is designed to help detect common security vulnerabilities like SQL injection, XSS, authentication bypasses, weak cryptography and insecure configurations before they reach production.

Prompt Injection Attacks

The platform identifies malicious instructions hidden in comments or dependencies that attempt to manipulate AI output.

Exposed Credentials

VibeGuard prevents API keys, tokens and passwords from being accidentally shared with AI systems during code generation.

Risky AI Tools

The solution blocks untrusted models or vulnerable assistants that developers deploy without security approval.

Code Compliance Failures

VibeGuard flags code that violates organizational security policies or regulatory standards.

Unsafe AI Settings

The platform alerts teams when coding assistants run without safety guardrails or proper oversight.

Security at the Speed of AI Development

VibeGuard shifts protection to code creation, the exact moment AI generates it. AppSec gains complete visibility without agents, workflow disruption or developer pushback. Book a demo to discover how Fortune 500 companies protect AI-powered development while deploying faster than ever.


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.

Nir Yizhak

CISO and VP at Firebolt

Frequently Asked Questions

Here are answers to the most common questions about our AI-generated code security platform.

Legit VibeGuard is the industry’s first AI-native AppSec solution to secure code the moment it’s created by AI agents, code assistants, and vibe coding tools. It ensures AI-generated code is clean, compliant, and aligned with organizational security policies while governing the AI agents and IDEs used across development teams. VibeGuard is designed to ensure complete AI development security and AI coding agent governance.

VibeGuard integrates directly into AI IDEs and AI code assistants (like GitHub Copilot, Cursor, and Windsurf) and your source code management systems. It analyzes AI-generated code in real time, identifies and remediates vulnerabilities before commit, and applies guardrails to prevent risky or noncompliant agent behavior.

AI coding tools are transforming development – but they also introduce new risks: insecure code generation, data leakage, prompt injection, and unmonitored agent activity. Traditional AppSec tools aren’t designed for AI-specific risks and operate too late in the process. VibeGuard secures and gives you visibility into all AI-generated code. It also shifts security to the moment of AI code creation, preventing risks before they enter your SDLC.

Traditional AppSec solutions (SAST, SCA, etc.) analyze code after it’s written and committed. VibeGuard is AI-native - built specifically for AI-generated development. It secures code as it’s being generated, governs agent activity, and connects AI security context back to your broader AppSec program for unified visibility and compliance.

VibeGuard integrates with popular AI coding tools such as GitHub Copilot, Cursor, Windsurf, Amazon CodeWhisperer, and other MCP server–based assistants. It also connects to your SCM (GitHub, GitLab, Bitbucket) and CI/CD pipelines to ensure continuous security coverage across your development lifecycle.

VibeGuard identifies and helps prevent:
     • Vulnerabilities introduced by AI-generated code
     • Secrets or sensitive data exposure
     • Unapproved AI model use
     • Prompt injection and data exfiltration risks
     • Noncompliance with corporate security policies
     • Insecure AI agent behavior or permissions misuse

VibeGuard bridges the gap between development and security. It gives developers real-time, actionable feedback within their coding environments while giving AppSec teams centralized visibility and governance across all AI agents and generated code. The result: faster delivery, lower risk, and stronger collaboration.

Our AI-generated application code security platform integrates directly with popular AI coding tools through IDE plug-ins and API connections. VibeGuard monitors AI activity in real time without disrupting developer workflows or requiring changes to existing development processes. Setup takes minutes and works alongside your current security stack.

VibeGuard identifies AI-specific threats, including prompt injection attacks, vulnerable AI models integrated into development workflows, sensitive data exposure through AI context windows and risky MCP server connections. The platform also detects when developers use unapproved or compromised AI assistants and alerts security teams when coding tools run in unsafe configurations.

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