A REA budget hit is not the same as preventing a clone
Interpret analyzer capacity errors, partial inventories and successful reconstruction as separate benchmark outcomes.
REA & BLA
How reverse-engineering agents inspect releases, how BLA approaches transformations and how to measure a reconstruction trial.
8 articles in this topic. Prepared with AI assistance from primary documentation and recorded project checks. Read our editorial policy.
8 articles
BLA decoys: evaluate analyzer friction and release overhead together
Assess format-specific decoys with compatibility, size and rollback gates before adding them to a production release.
BLA vs CloneGuard: choose by the job you need done
Compare BLA artifact transformations with CloneGuard release auditing, staging and evidence without overstating either tool.
Build untreated controls for anti-cloning experiments
Create matched release specimens that isolate the effect of a defense from compiler, signing and configuration changes.
Design a reproducible REA reconstruction trial
Specify artifacts, prompts, hidden behavior tests and resource budgets before evaluating an anti-cloning defense.
REA and BLA hours: what we measured and what remains unknown
Understand why estimated tokens and analyzer timings cannot be advertised as measured hours required to clone an application.
What our synthetic Swift and BLA test actually showed
Read the pinned Swift fixture results, including matching outputs, artifact growth and signature limitations, without generalizing to production apps.
What REA can observe in a shipped application
Map the release files and observable behavior available to a reverse-engineering agent before choosing defenses.
Apply this to your application.
Book a scoped review of your release artifacts, build settings and API boundaries.
Request an application review