AI Guardrails System

Monitoring infrastructure for LLM safety and risk control. Part of the emerging GenAI safety stack that ensures trust and reliability as autonomy increases.

LLM Risk Layer Demo - Monitor, intercept, and control harmful, biased, or unsafe behavior from embedded LLMs

LLM-Powered Agents

UserQABot

Answers customer support questions

active

InternalGPT

Used by staff to draft internal comms

1 Flagsactive

DataQueryBot

Lets users ask natural language questions over a DB

3 Flagssandboxed

PromptAPI

Exposed prompt-based API to external users

paused

Live Action Feed

UserQABot: Prompt: "What's your refund policy?" → Response OK

ALLOWEDHover for details

PromptAPI: User sent: "Ignore all previous instructions..."

BLOCKEDHover for details

InternalGPT: Suggested "all staff take Friday off" with no justification

FLAGGEDHover for details

DataQueryBot: Returned user email addresses in query output

SANDBOXEDHover for details

UserQABot: Responded with outdated info from 2021

BLOCKEDHover for details

Safety Policies

Configure the operational boundaries for all LLM agents.

Prompt Injection Detection

Scan for patterns like "ignore previous instructions"

PII Redaction

Redact user PII in both input & output

Confidence Thresholding

Block low-confidence outputs

Hallucination Filter

Block output that cites unverified or fictional info