AI Agents have become powerful copilots across industries — assisting with specification writing, claim validation, onboarding, and more. But with that power comes responsibility. When agents interact with human input and generate free-form responses, there’s a critical need to protect your users, your systems, and your brand.

That’s where guardrails and moderation come in.

Guardrails are safety and control mechanisms built into the architecture of an AI agent. They ensure that the agent operates within defined boundaries — technically, ethically, and contextually.

At EONIQ, we build agents that are not only smart, but also safe and auditable. Our typical Control & Guardrail Layer includes:

the ffffffffgYou might think content moderation only matters for chatbots in public-facing apps. But in reality, any open input field can be a vector for risk:

• Internal users may unintentionally enter PII or inappropriate prompts

• Output could include hallucinated or misleading statements if not verified

• Generative agents could reflect biases from the source data — or users themselves

To counter these risks, we typically integrate a moderation step (think of it like a digital moderator) that screens:

• User Input — to detect hate speech, self-harm, violence, toxic tone, etc.
• Agent Output — to prevent unsafe suggestions, biased statements, or non-compliant advice

Depending on your setup, this layer can be powered by:

• The EONIQ Built-in moderation node

• Custom rules or keyword lists

Here’s how a well-designed EONIQ Agent typically flows:

• Input (User or System)
• Safety Moderation (pre-check)
• Prompt Logic / Task Planning
• Context Enrichment & Memory
• Response Generation or Action Execution
• Output Moderation (post-check)
• Delivery & Logging

This architecture ensures that even powerful autonomous agents stay within safe, predictable, and transparent limits.