IDOR, categorized by OWASP as broken object level authorization, remains a leading cause of data breaches. The flaw occurs when an application fails to verify if a user has permission to access the specific object requested, allowing attackers to view or modify sensitive data simply by swapping an identifier. Because the vulnerability is conceptually straightforward but tedious to verify across large-scale systems, it is frequently overlooked during development cycles.

Siemba’s platform integrates into existing workflows by ingesting OpenAPI, Swagger, or Postman collections. Unlike traditional scanners that rely on status codes or generic signatures, the engine validates findings by analyzing the actual API response content. This approach filters out false positives and provides developers with immediate, verified reproduction paths. Sandhya Prashanth, Co-founder and Chief Security Officer at Siemba, notes that the goal is to shift security teams away from manual endpoint checking and toward complex tasks like privilege boundary analysis.

The automation covers a broad technical spectrum, including GraphQL introspection and XML-based SOAP vulnerabilities. To accommodate production environments, the system includes throttle presets and freeze windows, allowing companies to conduct offensive security testing without disrupting critical trading periods or peak traffic. By establishing a continuous security baseline, the platform enables human penetration testers to bypass initial reconnaissance and focus on nuanced, high-level attack paths.