API vulnerabilities are the most exploited attack surface in modern applications. VibeRails scans your entire API surface across all endpoints to find broken authentication, data exposure, and injection risks before attackers do.
API security vulnerabilities are consistently ranked among the most critical risks in web applications. The OWASP API Security Top 10 catalogues the most common attack patterns: broken object-level authorisation, broken authentication, excessive data exposure, lack of resource and rate limiting, and broken function-level authorisation. These are not edge cases. They are the primary attack vectors used to compromise real systems.
The problem with most API security approaches is scope. PR-level code review catches issues in the code being changed but cannot see the full API surface. A developer adding a new endpoint might follow secure patterns, but the 47 existing endpoints that were written over the past three years might not. Penetration testing finds issues in running systems but is expensive, point-in-time, and limited to the test cases the tester thinks to try.
API security issues are systemic. If one endpoint does not check object-level authorisation, other endpoints probably have the same gap. If error responses in one controller leak stack traces, other controllers likely do the same. If rate limiting is missing on the authentication endpoint, it is probably missing on other sensitive endpoints too. Finding and fixing these issues requires scanning every endpoint across the entire codebase – not just the ones that changed in the latest pull request.
VibeRails performs exactly this kind of full-surface analysis. Every route handler, middleware function, authentication check, and data serialisation layer is analysed for security patterns and anti-patterns. The scan produces a structured inventory of API security findings across the entire application.
VibeRails uses frontier AI models that understand API security patterns across REST, GraphQL, and gRPC implementations. The analysis traces request handling from route definition through middleware, authentication, authorisation, business logic, and response serialisation:
Each finding identifies the specific endpoint, file path, line range, and a severity rating. The structured output gives security teams a prioritised list of issues to remediate, not a generic risk assessment.
API security reviews typically happen at two points: proactively as part of a security programme, and reactively after an incident or before a compliance audit. VibeRails supports both workflows with the same full-codebase scan approach.
For proactive reviews, teams run a scan on their API codebase and use the triage interface to categorise findings by severity. Critical issues like BOLA vulnerabilities and SQL injection go into the current sprint. High-severity issues like missing rate limiting and excessive data exposure go into the backlog with target dates. Medium-severity issues like inconsistent error responses are tracked for future cleanup.
For compliance and audit preparation, VibeRails findings can be exported as HTML reports or CSV files. The structured format shows auditors that every endpoint has been reviewed for security patterns, with specific findings documented and remediation tracked. This is stronger evidence than a statement that developers review code in pull requests.
For GraphQL APIs, VibeRails analyses resolver functions, schema definitions, and query complexity. It identifies resolvers that bypass authorisation checks, queries that can trigger excessive nested resolution, and mutations that modify data without proper permission validation. The same full-codebase approach applies regardless of API style.
Teams that run scans regularly – quarterly or before each major release – build a baseline of API security health and can measure whether security debt is increasing or decreasing over time.
Dynamic application security testing (DAST) tools like OWASP ZAP and Burp Suite test running APIs by sending requests and observing responses. They find issues that are externally visible but miss vulnerabilities in code paths that the tool does not trigger. They cannot see excessive data exposure that only occurs for certain user roles or BOLA issues that require understanding the data model.
Static application security testing (SAST) tools scan source code for known vulnerable patterns. They find SQL injection in individual files but do not trace how authentication middleware, authorisation checks, and route handlers work together across the request lifecycle. A SAST tool might flag an unparameterised query but cannot determine whether the endpoint that calls it is protected by authentication.
VibeRails fills the gap between DAST and SAST by analysing source code with AI that understands API semantics. It traces request handling across files and layers, understanding that a missing authorisation check in a route handler is a critical finding even if the individual file has no syntax-level vulnerability patterns.
VibeRails runs as a desktop app with a BYOK model. It orchestrates Claude Code or Codex CLI installations you already have. Your API source code is read from disk locally and sent directly to the AI provider you configured – never to VibeRails servers. For security-sensitive codebases, this means your API source code is not routed through any VibeRails infrastructure.
There is no integration required with your CI pipeline, Git hosting, or issue tracker. Point VibeRails at your API repository and run the scan. It works with any language and framework – Express, FastAPI, Spring Boot, Rails, ASP.NET, or any other API stack.
Each licence covers one developer – subscribe monthly at $19/mo or buy the lifetime licence for $299 once. The free tier includes 5 issues per session. Run a security scan on your API codebase today and see what the AI finds across your endpoints, middleware, and authorisation logic.
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