guardrailsllm-securitycomparisonai-safety
Sanctum vs Guardrails: Chat Safety vs Execution Control
Guardrails filter what models say. Runtime trust protects what they do. When to use both — and why autonomous systems need an action boundary.
May 17, 20266 min read
Teams often ask: we already have guardrails — why Sanctum? Because guardrails protect conversation. Runtime trust protects execution.
Guardrails (input/output)
- Jailbreak and toxicity filters on prompts and replies
- PII redaction in chat
- Structured output validation
Sanctum Runtime (action layer)
- Intercepts tool calls, API writes, robot commands
- Policy: approve · verify · block per action type
- Signed action tokens, blast-radius scoring, audit for SOC2 / NIST AI RMF
Use both
Moderation on chat; Sanctum on anything that changes the world. That stack is the production pattern for agentic SaaS, robotics integrators, and enterprise automation.
Guides: agentic AI risk · MCP security · runtime authorization · HITL approvals · coding agents · get started
More: all posts · AI trust layer · open Sanctum Console