BLA launches defense against AI reverse engineering

BLA treats AI reverse engineering as an economics problem: make automated analysis expensive, noisy, and unreliable rather than relying on traditional obfuscation alone.

• –Uses canary keys, fake metadata, decoy control flow, and honey assets to misdirect analyzers
• –Targets documented REA limits across JavaScript, Electron, WebAssembly, native binaries, SQLite, models, and more
• –Claims benchmarked runtime equivalence while driving analysis into truncation, redaction failures, or capacity errors
• –The approach is especially relevant for indie developers shipping proprietary logic in client-side artifacts
• –Its effectiveness depends on analyzer-specific assumptions, so future RE tools may adapt around these defenses