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. 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 Hard-coded secrets, unsanitized inputs, and broken authentication |
Context-aware SAST with AI models Pinpoints flaws and proposes fixes pulled from your code style |
| Developers over-trust the assistant Skip review assuming AI-generated code is secure |
Inline VCS integration GitHub/GitLab/Bitbucket checks gate insecure PRs and auto-open a patch MR |
| Traditional scanners drown you in false positives Noise makes it impossible to find real issues |
AI-powered accuracy 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