guardrails

Guardrails in the context of enterprise AI refer to runtime security controls that enforce data loss prevention, threat prevention, and identity-based governance for autonomous AI agents. Discussions on WindowsForum highlight how Microsoft and Check Point are embedding AI guardrails directly into Microsoft Copilot Studio to protect against prompt injection, data leakage, and credential exposure as agents operate in production. These guardrails treat AI agents as first-class identities, applying continuous runtime enforcement rather than relying solely on design-time checks. The tag covers integrations, architectural considerations, and operational questions enterprises must address when deploying agentic AI with security guardrails.