Validate AI-generated code against business intent
AI intent validation, 240+ logic and security rules, dependency scanning, and triage workflows — built for teams that ship AI-generated code and need to know it actually works.
Core capabilities
AI intent validation
Paste a ticket, PR description, or spec when you scan. LogicGuard’s AI cross-references the code against your stated intent — catching hallucinated APIs, missing edge cases, and logic that passes tests but breaks business rules.
240+ logic & security rules
Covers JS/TS, Python, Java, Go, C#, Ruby, PHP, Kotlin, Swift, Dockerfile, Terraform, Kubernetes, CloudFormation, and Ansible. 90+ business logic rules catch stale closures, race conditions, type coercion bugs, and missing guards. Every rule is mapped to CWE and OWASP categories with a fix recommendation.
GitHub Action & SARIF export
Install the official LogicGuard GitHub Action in one step. It posts PR comments with a findings summary and uploads SARIF 2.1.0 results to GitHub Code Scanning for native security alerts in your repo.
Dependency scanning — 6 ecosystems
Scan npm, PyPI, Go modules, Cargo, RubyGems, and Packagist against the OSV.dev vulnerability database. See CVE details, severity ratings, affected version ranges, and available fixes.
Also included
Auto-remediation PRs
On PRO and Enterprise plans, LogicGuard opens a GitHub pull request with AI-generated fixes already applied. Your team reviews a diff instead of writing patches from scratch.
Vulnerability tracking
Every finding is fingerprinted and tracked across scans. See what’s new, what’s recurring, and what’s been fixed. Assign findings, add notes, and track resolution status.
Slack & PagerDuty alerts
Get a full severity breakdown in Slack after every scan. Critical and high findings automatically trigger PagerDuty incidents so your on-call team is never the last to know.
Team collaboration
Invite team members with Admin, Developer, and Viewer roles. Project creators retain ownership while the team shares projects, scans, findings, and reports.
Comparison
LogicGuard vs traditional scanners
Traditional tools only find security vulnerabilities. LogicGuard also validates that AI-generated code matches your business intent.
| Capability | LogicGuard | Traditional |
|---|---|---|
| AI intent validation (ticket/spec comparison) | ✓ | — |
| Business logic gap detection | ✓ | — |
| Hallucinated API / method detection | ✓ | — |
| SQL injection & XSS detection | ✓ | ✓ |
| Hardcoded secret detection | ✓ | ✓ |
| Dependency vulnerability scanning (SCA) — 6 ecosystems | ✓ | ✓ |
| SARIF 2.1.0 export for GitHub Code Scanning | ✓ | — |
| GitHub Action with PR comments | ✓ | — |
| Auto-remediation pull requests | ✓ | — |
| License compliance scanning | ✓ | — |
| Slack & PagerDuty notifications | ✓ | — |
| Custom regex rules with ReDoS safety checks | ✓ | — |
| CWE & OWASP category mapping | ✓ | — |
See it in action
Paste your ticket, scan the code, and see if it actually does what you asked for.