Add your business context, scan your code, and catch the logic gaps AI left behind — all in under a minute.
Create a project in the dashboard. Optionally paste a ticket description, PR summary, or spec so LogicGuard knows what the code is supposed to do.
LogicGuard runs 240+ static rules across 14 languages — covering business logic, security vulnerabilities, infrastructure misconfigs, and dependency CVEs — then sends findings through an AI layer that cross-references your code against the business context you provided.
Findings are ranked by severity in the dashboard. Track issues across scans, assign them to team members, and follow remediation playbooks to fix both logic gaps and security flaws.
Under the hood
Each scan goes through a multi-stage pipeline that completes in seconds.
Regex-based rules with ReDoS protection covering 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, missing guards, and data integrity issues. All rules are mapped to CWE and OWASP categories.
Each finding gets a stable SHA-256 fingerprint based on the rule, file, and title. LogicGuard tracks which issues are new, recurring, or fixed across scans.
Define project-specific regex rules with custom severity and category. Every pattern is validated against catastrophic backtracking before it runs.
When you provide business context (ticket, PR description, spec), the AI layer checks whether the code actually implements the stated intent — catching hallucinated APIs, missing edge cases, and logic gaps.
Integrations
LogicGuard plugs into the tools you already use. No migration required.
GitHub
Source control, webhooks & Action
OSV.dev
Vulnerability database (6 ecosystems)
AI Engine
AI-powered code analysis
Slack
Scan notifications
PagerDuty
Incident alerting
Payment Gateway
Payments & billing
FAQ
How is this different from a security scanner?
Security scanners find vulnerabilities. LogicGuard does that too, but also validates business logic — it checks whether AI-generated code actually does what your ticket or spec describes, catches missing edge cases, and flags hallucinated APIs.
Does LogicGuard store my source code?
Code is processed in memory during scanning. Scan results (findings, severity, file paths) are stored for tracking, but raw source code is not persisted.
How long does a scan take?
Static analysis completes in under 3 seconds for most projects. AI-powered analysis adds a few seconds when configured. Dependency scanning against OSV.dev is near-instant.
Can I write custom rules?
Yes. All plans support custom regex-based rules per project. Define a pattern, severity, and category — LogicGuard validates the regex for safety before running it.
What languages are supported?
TypeScript, JavaScript, Python, Go, Rust, Java, Ruby, PHP, Kotlin, Swift, C, C++, C#, plus infrastructure-as-code languages: Dockerfile, Terraform/HCL, Kubernetes YAML, CloudFormation YAML, and Ansible. 14 languages total.
Paste your ticket, scan the code, and see if it actually does what you asked for.