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AI Guardrails & Safety

Keep your AI within policy, regulatory, and ethical boundaries at all times.

Overview

AI systems without guardrails are a liability. They can produce harmful content, leak sensitive data, ignore policy constraints, and create regulatory exposure — especially when handling the complexity and adversarial inputs of real-world production traffic. Our AI Guardrails & Safety service designs and implements the input and output control layers that keep your AI systems within defined boundaries. From PII detection and redaction to jailbreak resistance and content policy enforcement, we build the safety infrastructure that makes enterprise AI deployable in regulated environments.
How It Works with a21

Risk Assessment & Policy Definition

Identify the risks specific to your use case — data leakage, harmful outputs, policy violations, adversarial inputs. Define the guardrail policies that address each risk.

Guardrail Design & Implementation

Design and implement input and output guardrails — combining rule-based filters, ML classifiers, and LLM-based evaluators — appropriate for your risk profile and latency requirements.

Red-Teaming & Continuous Monitoring

Stress-test guardrails against adversarial inputs and edge cases. Deploy monitoring that detects and alerts on guardrail violations in production.

Tech Stack & Tools

NeMo Guardrails
Llama Guard
Microsoft Azure Content Safety
Presidio
Custom NER models
FastAPI
Prometheus / Grafana

Get Started

Deploy AI with confidence. Talk to a21 about building safety guardrails for your system.

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Case Studies

Explore how organisations are using a21 solutions to drive real business impact.

Docs

Access product documentation, integration guides, and reference material.