SECTOR: AI & DATA FORENSICS
MISSION: AI-MALWARE DETECTION VIA STYLE-DRIFT
HEARTBEAT: 0.0082s (CYTHON-HARDENED)

The Merkle-Ledger Behavioral Audit is a Sovereign security module designed to identify LLM-generated malware. By tracking the cryptographic evolution of code logic (Merkle-Nodes), it baselines the established development style of the hypergraph. Mutations that introduce high-entropy logic, irregular architectural jumps, or stylistic drift statistically divergent from the human-authored mean are forensic-blocked and flagged for audit.

• O(1) Logic Hashing: Cryptographic baselining of AST node structures.
• Complexity-Drift Detection: Identifies anomalous logic patterns associated with AI obfuscation.
• Vanguard Hardening: AOT-compiled via Cython for sub-ms execution.

1. python setup.py build_ext --inplace
2. python behavior_audit.py

"HASH THE LOGIC. TRACK THE STYLE. SHRED THE MACHINE-MALWARE."