AI agents don’t get hacked because they are inherently malicious. They get hacked because they are structurally sloppy. An LLM does not natively understand EIP-55 checksums, UINT256_MAX boundary limits, or the 4-byte anatomical structure of EVM calldata. It is, at its core, a text-prediction engine. It simply spits out a JSON payload that looks like a valid blockchain transaction. If your backend architecture relies on taking raw LLM output, running a quick regex check, and firing it off to a blockchain RPC, you are playing Russian Roulette with your protocol's treasury. Hackers exploit this semantic gap by injecting malicious bytecode (like a rogue approve function) under the guise of a benign action. In the Lirix architecture, we don't wait for the blockchain to reject a bad transaction. We eradicate hallucinations in local memory, milliseconds before a network request is even assembled. Here is an under-the-hood look at how we engineered the Mathematical Cage (Layers 1 & 2 of the Lirix pipeline).…