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.

CapabilityLogicGuardTraditional
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.