The AI guardrails platform that blocks failures before they reach users
What the AI guardrails platform does
Guardrails are the runtime layer of the SUPERWISE AI governance platform. Each request and response routed through the configured guardrail is checked against its configured rules for PII, toxicity, restricted topics, and jailbreak attempts. A detected violation is blocked before the user sees it.
On the platform, guardrails check PII, toxicity, topics, and jailbreak attempts on inputs and outputs. Through Sentinel, the AI gateway, the AI tools your team already uses get the secrets, PII, and toxicity guardrails on outgoing prompts.
See it work
Guardrails in action
Real-time policy checks
Built-in protections
Pre-configured guardrails for common risks, plus the flexibility to define your own
Toxicity Filter
Topic Restriction
Jailbreak Detection
Competitor Check
Protection at every layer
Input Validation
Detect prompt injection, PII, and malicious inputs before model execution.
Runtime Evaluation
Evaluate AI outputs against your policies in real-time. Block, modify, or flag violations automatically.
from superwise_api.models.guardrails.guardrails import ToxicityGuard
high_toxicity_guard = ToxicityGuard(name="High toxicity guard", tags=["input"], threshold=0.8, validation_method="sentence")
results = sw.guardrails.run_guardrules(tag="input", guardrules=[high_toxicity_guard], query="Heck ye")
for result in results:
if not result.valid:
print(f"Guardrail '{result.name}' was violated.")
print(f"Violated message: {result.message}")Guardrails stop threats in real-time
Watch SUPERWISE detect and block PII leaks before they ever reach the LLM. See how a patient SSN gets stopped cold.
Related capabilities
As part of SUPERWISE AMP, guardrails work together with other capabilities
SUPERWISE Sentinel
Platform Observability
Platform Agent Studio
AI guardrails platform questions
What buyers ask when comparing AI guardrails platforms
Questions buyers ask
All questions- Are your AI controls enforced, or just written down?Usually written down.
- What does AI enforcement at runtime actually look like?One point that every AI request passes through on its way to a model, where rules are applied before a response reaches anyone.
- What can and cannot be guaranteed about an AI system?A named deterministic control can permit only defined actions when all relevant traffic and actions cross that control.
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Deploy in minutes. Stop your next breach before it happens.