Let’s talk about LLM guardrails
Last Updated on October 13, 2025 by Editorial Team
Author(s): Adnan Siddiqi
Originally published on Towards AI.
Let’s talk about LLM guardrails
In March, I received an email from the founder of a website who had created an AI wrapper related to the medical field. He sent me an unsolicited email and subscribed me to his newsletter.

The article discusses the importance of implementing guardrails in AI models, particularly LLMs, to prevent exploitation and misuse. Through various examples, the author illustrates how inadequate setups can lead to significant issues, including unwarranted financial loss and technical challenges. The necessity of establishing firm guidelines and regulations while utilizing LLMs is emphasized as a fundamental step toward practical and responsible usage, particularly for businesses and developers entering the AI space.
Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI
Towards AI Academy
We Build Enterprise-Grade AI. We'll Teach You to Master It Too.
15 engineers. 100,000+ students. Towards AI Academy teaches what actually survives production.
Start free — no commitment:
→ 6-Day Agentic AI Engineering Email Guide — one practical lesson per day
→ Agents Architecture Cheatsheet — 3 years of architecture decisions in 6 pages
Our courses:
→ AI Engineering Certification — 90+ lessons from project selection to deployed product. The most comprehensive practical LLM course out there.
→ Agent Engineering Course — Hands on with production agent architectures, memory, routing, and eval frameworks — built from real enterprise engagements.
→ AI for Work — Understand, evaluate, and apply AI for complex work tasks.
Note: Article content contains the views of the contributing authors and not Towards AI.