AIN extends the verified foundations of VSI and AIA into alignment and governance. It defines how an intelligent system can act autonomously while remaining provably consistent with human-defined ethical, legal, and policy constraints. Under AIN, every decision, consensus, and evaluative judgment must carry traceable evidence of integrity—proof that the system remained within its declared boundaries. AIN is the third pillar of the TLDR framework—linking verifiable reasoning and governed learning to ethical, accountable behavior. It demonstrates that autonomy and alignment are not competing goals but expressions of the same requirement: intelligence must be able to prove that it remained faithful to the principles entrusted to it.