Trust Boundary Violation

Think of a trust boundary as a security checkpoint within your code. Data from untrusted sources (like user input or external APIs) must be validated before it's allowed into the trusted, inner zones of your application where core logic executes. A violation happens when this separation breaks down—trusted and untrusted data are combined in a single structure. This makes it dangerously easy for developers to accidentally treat the entire dataset as safe, bypassing critical validation and leading to injection attacks or data corruption. Preventing this requires clear architectural separation: validate and sanitize all external data immediately at the entry point, and never merge it with trusted internal data before processing. Managing this at scale across complex applications is difficult; an ASPM like Plexicus can help you visualize these data flows, track trust boundary violations across your entire stack, and prioritize fixes. While SAST tools can flag the pattern, Plexicus uses AI to suggest the specific code changes needed to enforce proper separation, saving hours of manual refactoring work.