AI guardrails

Guardrails are the rules and checks that keep an AI system within safe and intended behaviour.

Written by Reflective Data experts · updated Oct 5, 2026

They include permission limits, redaction of sensitive data, output filters, human approval for risky actions and logging of every call. Strong guardrails are what let companies trust agents with real work.

They should be tested like any other part of the system.

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Text-to-SQL

Text-to-SQL is using AI to turn a plain-language question into a SQL query.

vector-database.md

Vector database

A vector database stores embeddings and quickly finds the ones most similar to a query.

claude.md

Claude

Claude is a family of AI models and assistants from Anthropic.

embeddings.md

Embeddings

Embeddings are numerical representations of text or other data that capture meaning, so similar things are…

system-prompt.md

System prompt

A system prompt is the standing set of instructions that defines how an AI assistant behaves…

model-drift.md

Model drift

Model drift is when an AI or machine learning system gets worse over time because the…

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