Proposal: Quantir Risk Intelligence Reference Layer for Canton Network

Author: Ilya Berdar / Quantir Status: Draft Created: 2026-05-04 Label: node-deployment-operations Champion: need Champion

Abstract Quantir proposes to build an open risk monitoring and operational intelligence reference layer for Canton Network applications and infrastructure. The project will define reusable monitoring schemas, alert categories, evidence formats, and reference workflows that help Canton ecosystem participants detect operational stress, abnormal application behavior, infrastructure degradation, and risk-relevant changes earlier.

The value to the Canton ecosystem is a common, reviewable monitoring pattern that can be reused by application builders, node operators, infrastructure teams, and ecosystem participants without requiring each team to invent its own risk-alerting model from scratch.

Specification

1. Objective

The objective is to create a reusable Canton-oriented monitoring and risk alerting reference implementation for ecosystem participants.

The problem is that institutional and application-level blockchain systems need reliable operational visibility, but monitoring outputs are often fragmented across logs, dashboards, infrastructure metrics, custom scripts, and manual review. This makes it harder for operators and builders to understand what changed, whether a condition is becoming risky, and what evidence supports the alert.

The intended outcome is an open reference layer that demonstrates how Canton-relevant operational signals can be normalized into structured alerts with severity, reason codes, evidence fields, and human-readable explanations.

1. Implementation Mechanics

Quantir will adapt its existing risk intelligence architecture into a Canton-focused reference implementation.

The work will include:

defining a Canton monitoring signal taxonomy; designing normalized alert schemas; defining evidence and reason-code formats; implementing a prototype alert-generation service; creating sample datasets or example input events; producing reference alert outputs for operational conditions; documenting how Canton ecosystem participants can adapt the pattern; preparing a reference consumer or dashboard-ready output format. The initial implementation will focus on operational and infrastructure monitoring rather than custody, trading execution, or private user surveillance. The system will not attempt to access confidential participant data unless explicitly provided in an opt-in test context.

Core components:

Signal ingestion layer: accepts public, operational, or opt-in monitoring signals. Normalization layer: converts raw input events into a common internal schema. Risk and anomaly layer: assigns severity, reason codes, and risk context. Explanation layer: produces concise human-readable explanations with supporting evidence. Delivery layer: exposes JSON alert outputs suitable for dashboards, bots, incident workflows, and future API/WebSocket delivery.

1. Architectural Alignment

The proposal aligns with Canton’s focus on institutional-grade infrastructure, privacy, interoperability, and operational reliability.

The work is intentionally designed as a reference monitoring layer rather than a protocol-level modification. It can complement Canton ecosystem tooling by giving builders and operators a reusable pattern for operational intelligence, alerting, and evidence-based incident review.

Relevant ecosystem alignment:

node-deployment-operations: improves operational visibility for infrastructure and application operators; canton-apis: produces structured outputs that can be integrated into ecosystem tools; financial-workflows-composability: helps applications monitor risk-relevant workflow conditions; regulatory-compliance: supports clearer operational reporting and auditability without exposing private user data. No Canton protocol changes are required.

1. Backward Compatibility

No backward compatibility impact.

The proposal does not require changes to Canton protocol behavior, existing application logic, node operation rules, or existing integrations. It provides an optional reference monitoring pattern and integration outputs that ecosystem teams can adopt voluntarily.

Milestones and Deliverables Milestone 1: Canton Monitoring Scope and Alert Schema Estimated Delivery: 2026-06-30 Focus: Define the monitoring scope, signal taxonomy, alert schema, and architecture. Deliverables / Value Metrics: Canton-oriented monitoring signal taxonomy. Initial alert schema with severity, reason codes, evidence fields, and explanation format. Architecture document describing ingestion, normalization, alert generation, and delivery flow. At least 5 proposed alert categories. Feedback requested from Canton Foundation / Tech & Ops stakeholders. Milestone 2: Reference Implementation and Example Alerts Estimated Delivery: 2026-08-15 Focus: Build the prototype alert-generation service and demonstrate useful monitoring outputs. Deliverables / Value Metrics: Working prototype that processes