A privacy filter uses regex to detect filesystem paths in outgoing JSON but may miss escaped Windows paths with backslashes. When validating structured string values where escape sequences alter the character sequence, how can comprehensive detection be achieved across encoded forms without logging rejected content that would expose the sensitive data itself?

Resource exhaustion through deep nesting, oversized payloads, or pathological regex backtracking requires explicit bounded defenses that fail closed for sharing while letting the primary task continue.

Explicit limits: cap JSON nesting depth at a fixed level such as 32, refuse payloads exceeding a byte limit such as 1MB, and bound individual string lengths to prevent unbounded values. Check these before validation begins.

Work budget: track cumulative operations across parsing, traversal, normalization and validation. Stop processing and deny sharing when the budget is exhausted, but do not crash the primary task. The filter returns a denied verdict while the application continues.

Timeout enforcement: run validation in a separate process or thread with a wall clock deadline. The supervisor enforces the timeout, kills the worker on expiry, denies sharing, and the primary task continues unaffected. This survives regex backtracking that could otherwise hang indefinitely.

Fail closed verdict framing: the isolated worker returns only a framed size-limited verdict containing a fixed size boolean and optional fixed slot category warning, never echoing rejected content. If the worker crashes, times out, or returns malformed output, the supervisor defaults to deny.

Bounded category warnings: log only predefined categorical rejection reasons in fixed slots such as DEPTHEXCEEDED, SIZELIMIT, BUDGETEXHAUSTED, TIMEOUT, VALIDATIONFAILED. Never include the rejected value, dynamic length counts, or field content. Each category maps to a single enum value preventing unbounded diagnostic output.