###### Use Case

# Secure AI-Generated Code

Protect your codebase from vulnerabilities introduced by AI coding assistants. ZeroPath catches the security issues that LLMs miss.

Missing AuthZ

Auth Check

Public API

## The Challenge

[One in three AI-generated pieces of code contains a vulnerability](https://socradar.io/every-1-of-3-ai-generated-code-is-vulnerable-exploring-insights-with-cyberseceval). As development teams increasingly rely on AI coding assistants, security risks are being introduced at an unprecedented rate.

## Common Pain Points & How ZeroPath Solves Them

| Pain Point | How ZeroPath Solves It |
| --- | --- |
| **LLM assistants embed unsafe patterns**<br>Hard-coded secrets, unsanitized inputs, and broken authentication | **Context-aware SAST with AI models**<br>Pinpoints flaws and proposes fixes pulled from your code style |
| **Developers over-trust the assistant**<br>Skip review assuming AI-generated code is secure | **Inline VCS integration**<br>GitHub/GitLab/Bitbucket checks gate insecure PRs and auto-open a patch MR |
| **Traditional scanners drown you in false positives**<br>Noise makes it impossible to find real issues | **AI-powered accuracy**<br>Only actionable alerts reach your PR, each with a one-click fix |

## How it Works

### 1\. Detect

AI-aware detections + deep-flow analysis scan every push in < 60s

### 2\. Prioritize

Risk-rank by exploitability, data sensitivity & business logic

### 3\. Fix

LLM generates a ready-to-merge patch and unit test

### 4\. Verify

CI reruns the scan to guarantee the vulnerability is gone

## Key Capabilities

### AI-Specific Vulnerability Detection

- **Prompt injection attacks** \- Detect when user input can manipulate AI behavior
- **Insecure output handling** \- Catch unvalidated AI responses before they cause XSS or injection
- **Training data poisoning** \- Identify potential data corruption vectors
- **Model denial-of-service** \- Find resource exhaustion vulnerabilities
- **Sensitive information disclosure** \- Prevent AI from leaking confidential data

### Business Logic Detection

ZeroPath understands cross-file and cross-repository data flow to catch:

- Faulty authentication and authorization logic
- Broken Object Level Access (BOLA) vulnerabilities
- Complex race conditions and state management issues

### One-Click Autofix

- Autogenerated patches that match your coding style
- Natural language modification capabilities
- Ready-to-merge pull requests with unit tests

## Detect & fix  what others miss