/Inapse In(c)law
Inapse In(c)law embeds regulatory compliance and rule enforcement directly into the execution pipeline — before actions reach the network.
Define what agents can do, what they cannot, and what must be verified — all enforced at the keyboard level.
/The Problem
Today's AI agents and automated pipelines execute first, comply later. Regulatory checks happen at the cloud layer — after data has already left the device, after transactions are already submitted.
Post-hoc compliance
Rules checked after execution, not before
Cloud-layer enforcement
Compliance depends on server-side middleware
No agent awareness
AI agents have no built-in regulatory model
Jurisdiction blind
Execution ignores geographic and legal context
"If compliance happens after execution, it's not compliance — it's damage control."
/The Shift
In(c)law moves compliance enforcement to the input layer — the earliest possible point in the execution pipeline. Rules are evaluated locally, before any action leaves the device.
Before — Cloud Compliance
After — Input-Layer Compliance
"Compliance at the origin means violations never happen — they're prevented."
/How It Works
In(c)law operates as a programmable rule engine embedded in the input layer. Every intent is evaluated against configurable compliance policies before execution.
01
💡
Intent captured
02
⚖
Rules evaluated
03
🛡
Violations blocked
04
✓
Compliant executed
Rule types
Jurisdictional, financial, behavioral
Evaluation
Local, sub-millisecond
Updates
OTA policy refresh
/Compliance Domains
In(c)law supports multiple compliance domains — from financial regulations to data sovereignty, from agent behavior limits to cross-chain transaction rules.
Financial compliance
Transaction limits, KYC/AML rules, spending caps, and multi-signature requirements enforced before execution.
Data sovereignty
Geographic restrictions on data movement. Intent stays local when regulations require it.
Agent behavior limits
Configurable boundaries for AI agent actions — what they can execute, how much they can spend, which chains they can access.
Cross-chain rules
Chain-specific compliance rules applied before bridging or multi-chain execution.
"One rule engine. Every compliance domain. Enforced at the source."
/AI Agent Compliance
As AI agents gain execution capabilities, compliance becomes critical. In(c)law ensures every agent action passes through a rule evaluation layer — no exceptions.
Without In(c)law
With In(c)law
"In(c)law doesn't restrict agents — it makes them trustworthy."
/Role in Inapse
In(c)law sits between intent capture and execution — the compliance checkpoint that ensures every action meets defined rules before it reaches Inclave or the network.
01
Input
Captures intent
02
K2K
Secures intent
03
In(c)law
Enforces rules
04
Inclave
Executes value
COMPLIANCE BY DESIGN
Every action verified. Every rule enforced. At the input layer.