Your agent’s mistakes become our problem.
Cantic enforces the rules your agents must never break, and covers the cost when one slips through. You set the rules. We block violations in real time, prove every action, and put our money behind it, up to the coverage you choose.
Agent runtime
Guarded by Cantic
Everything your agents touch flows through Cantic
Cantic checks every action your agents take against the rules you set, and blocks, corrects, or flags anything that would break one, before it reaches your systems.
Chat GPT
Claude
Grok
DeepseekRefund limits, approval gates, forbidden actions, checked on every call and blocked before they execute.
A complete, auditable record of what each agent did and the rule it was checked against.
If an agent breaks a rule on our watch and it costs you, we cover it, up to the coverage you choose.
See it, act on it, contain it
Cantic is built to sit in the path of your agents and act in the moment, not watch from the sidelines.
Enforce the rules that actually matter
You set the rules your agents must never break. Never refund over a limit. Never email a customer without approval. Never touch records outside their scope. Cantic checks every action against them in real time and blocks, flags, or corrects anything that violates them, at a strictness level you control. It drops in at the tool and MCP boundary, so nothing about how your agents run has to change.
Your rules, enforced in-path: Every tool call and command is checked against your rules before it executes, not flagged afterwards in a dashboard.
Drop-in, framework-agnostic: Sits at the tool and MCP layer, so it works with LangGraph, CrewAI, the OpenAI and Anthropic SDKs, or your own agent loop, with no code rewrite.
agent→ read_orders(status="open")
cantic ✓ allowed · read-only
agent → refund(order=8841, amount=payment.total)
cantic ✓ allowed · within policy
agent → DELETE FROM orders WHERE 1=1
cantic ⛔ blocked · unbounded delete on prod
Prove it, and cover the damage
Every decision Cantic makes, whether it allows, corrects, or blocks an action, is recorded, so you can always show exactly what your agents did and why. And we put our money behind it: if an agent breaks a rule while Cantic is enforcing it, we cover the cost, up to the coverage you choose. That is what turns "we hope the agent behaves" into something you can put in front of customers.
A provable record: Every action, and the rule it was checked against, is captured and auditable, ready for a customer, an auditor, or a postmortem.
We cover the cost: If an agent breaks a rule we are enforcing and it costs you, we pay for it, up to the coverage you choose. The financial risk of a rule breach shifts from you to us.
Sharper over time: Every near-miss teaches Cantic your specific failure patterns, so enforcement gets tighter the longer it runs.
action: POST /payments{ amount: 48,200 }
⛔ blocked: 48× customer ceiling
↳ halted before execution
↳ escalated to on-call · #ops
↳ logged · reviewable
failure contained, not shipped
See Cantic enforce your rules on your own agents
We’re onboarding design partners now. Book a demo, tell us your riskiest agent action, and we’ll set the rule, then show you Cantic enforce it, prove it, and stand behind it.
Frequently Asked Questions
Got questions? Everything you need to know about how Cantic guards your agents.
Can’t find answers?
We're here to help! Get in touch with our support.
Enforce it. Prove it. Stand behind it.
Four properties that make containment hold up in production.
Monitoring tells you what broke, after it broke. Guardrails block a fixed list. Cantic enforces your specific rules on every action, proves what happened, and stands behind it, which is what lets you hand agents work that actually matters.
Your rules, checked on every action, in-path
Every decision recorded and auditable
If a rule breaks on our watch, we cover the cost
One line at the tool and MCP layer, no rewrite