Use Case

Application Security

Stop guessing. Ship code that beats the breach statistics. Get real security analysis that developers actually trust.
Application Security

ZeroPath's AI finds and reports problems with the 'Juice Shop' repository.



The Challenge

Picture a typical sprint: a PR lands ten minutes before cut-off. Your scanner flags 3 items, two of them false. The team rolls the dice and deploys. Six months later Incident Response is on the call.

ZeroPath rewrites that story: an on-push scan runs in under 60 seconds, returns only three exploitable issues, and supplies ready-to-merge patches that match your code style.

Common Pain Points & How ZeroPath Solves Them

Pain PointHow ZeroPath Solves It
Legacy scanners flood developers with noise
Teams ignore security alerts due to false positive fatigue
92% alert reduction
AI-powered analysis shows only real, exploitable vulnerabilities
Security fixes break functionality
Generic patches don't understand your codebase
Context-aware autopatch
Generates fixes that match your code style and preserve functionality
Vulnerabilities discovered too late
Finding issues in production is expensive and risky
Shift-left security
Sub-minute scans catch issues at commit time, not deployment
Developers lack security expertise
Not everyone knows how to fix complex vulnerabilities
Built-in security guidance
Clear explanations and one-click fixes empower every developer

How it Works

1. Scan

Real context SAST detects SQLi, XSS, SSRF, broken authN/authZ, and business logic issues

2. Prioritize

AI scores issues based on CVSS 4.0, considering entire context to prevent wasted developer time

3. Fix

Autopatch generates a secure diff in your branch that matches your coding standards

4. Verify

Fail-safe CI blocks until vulnerability is verified as fixed (with audited break-glass option)

Key Capabilities

Comprehensive Security Coverage

  • Real context SAST - Ability to detect SQLi, XSS, SSRF, broken authN/authZ, and business logic issues
  • Credential guard - Detects hard-coded keys and leaked tokens the moment they appear
  • Dependency analysis - Identifies vulnerable libraries and suggests secure alternatives
  • Infrastructure as Code - Secures Terraform, CloudFormation, and Kubernetes configurations

Developer Experience

  • Pull request automation - Security reviews happen automatically on every PR
  • Clear remediation guidance - Understand why something is vulnerable and how to fix it
  • Learning mode - Improves accuracy based on your team's feedback
  • Less noise - 80% lower false positive rate than traditional alternatives

Enterprise Features

  • Custom policy enforcement - Implement your organization's specific security requirements
  • Compliance reporting - Track SOC2, PCI-DSS, and other compliance requirements
  • Security metrics dashboard - Measure and improve your security posture over time
  • Role-based access control - Control who can view and override security findings

Detect & fix
what others miss