Fortify the intelligence layer.

LLM Fort is an exceptionally strong metaphor for a hardened defensive perimeter around large language models. LLM security now spans adversarial attacks, prompt injection, jailbreaks, model manipulation, unsafe outputs, access control, and runtime guardrails. A 2026 survey describes the modern LLM safety stack as a combination of attacks, defenses, alignment, evaluation, and guarding mechanisms. :contentReference[oaicite:0]{index=0}

LLMFort.com has an unusually clear visual identity: the model is the asset; the Fort is the protection layer. It could become an AI-security company, LLM firewall, model-hardening platform, adversarial-defense engine, or enterprise AI protection suite. The broader market is moving toward dedicated security layers around autonomous AI, with emerging products already describing themselves as enterprise firewalls for agents and real-time enforcement systems. :contentReference[oaicite:1]{index=1}