AI Guardrails in 2026: Types, Challenges, and Impact of Agentic AI
AI guardrails are safety, security, and governance frameworks designed to ensure Large Language Models (LLMs) and generative AI applications produce trustworthy, accurate, and appropriate content. They function as filters for inputs and outputs to prevent harmful or biased outputs and proprietary data leakage, enforcing compliance with safety policies and regulatory standards.