benchmark-tuned LLMs

When large language models climb public leaderboards, it’s tempting to read those scores as a green light for production. But the AI Security Forum’s new best‑practices guide lands a clear message: benchmark-tuned LLMs can be brittle, especially under real adversaries, messy inputs, and multi-step workflows that stretch far beyond test prompts. For security and engineering…