Guardrails
Runtime safety filters around AI models · check inputs for attacks, check outputs for harms, block policy violations.
Runtime safety filters around AI models · check inputs for attacks, check outputs for harms, block policy violations.
Basic
Guardrails run outside the model. They check user inputs (prompt injection detection, PII scanning) and model outputs (toxicity, factual verification, policy compliance). Production-critical · you can't trust the model alone to catch every edge case. Popular tools: Guardrails AI, NVIDIA NeMo Guardrails, Lakera Guard, Protect AI.
Deep
Guardrail categories: (1) input filtering (prompt injection detection, jailbreak recognition, PII redaction), (2) output filtering (toxicity scoring, factual verification, format compliance), (3) rate/volume controls (anomaly detection, cost caps). Implementation: small classifier models, regex patterns, rule engines, or separate LLM calls dedicated to validation. Production systems stack multiple layers because no single approach catches everything. Trade-off: more guardrails = more latency and more false positives.
Expert
Jailbreak detection classifiers (Lakera Guard, open-source variants) catch 80-95% of known patterns but struggle with novel attacks. Input/output LLM-as-judge approaches have 90%+ accuracy on safety eval sets at 10-50ms latency overhead. Enterprise deployments typically run 3-5 guardrail layers: input sanitization, PII detection, output toxicity, output fact-check, format validator. Open-source framework choice · Guardrails AI (Python-native), NeMo Guardrails (config-driven), LLM Guard (comprehensive), or custom.
Depending on why you're here
- ·Input filtering + output filtering + volume controls · three categories
- ·LLM-as-judge is dominant pattern · 90%+ accuracy at 10-50ms latency
- ·Open-source tools: Guardrails AI, NeMo Guardrails, LLM Guard
- ·Never deploy LLMs to end users without output guardrails
- ·PII redaction + prompt injection detection are the 2 must-haves
- ·Budget 10-50ms per guardrail check · plan latency accordingly
- ·Guardrails market: Lakera, Protect AI, Robust Intelligence $50M+ rounds
- ·Enterprise compliance drives adoption · GDPR + EU AI Act + HIPAA require audit trails
- ·Commoditizing fast · differentiation shifts to integration quality
- ·Safety filters around AI · catch the bad stuff the AI itself might miss
- ·Why ChatGPT doesn't tell you how to build a bomb
- ·Required for production AI, not optional
If you're running production AI without guardrails, you're one prompt-injection away from a front-page incident.