Automated Compliance at Scale

When you operate an ecosystem with dozens or hundreds of contributing vendors, data providers, or service integrators, manual compliance tracking breaks down fast. Arc Compliance replaces spreadsheet audits with continuous, automated scoring, capturing every message, validating every schema, and surfacing every compliance gap in real time.

The system generates objective, data-driven metrics that make resource allocation, vendor management, and corrective action decisions defensible and fast. Whether you are managing a defense data-sharing program, a national lab instrument network, or an industrial IoT deployment, Arc Compliance provides the same rigorous visibility at any scale.

Arc Compliance Dashboard showing automated grading and service health monitoring

Key Features

Objective Grading

Automated, consistent scoring across all services eliminates subjective audits and produces defensible metrics for vendor management and investment decisions

Health Monitoring

Real-time tracking of data quality, message schema compliance, and service performance across every provider in your ecosystem

Availability Tracking

30-day uptime history surfaces reliability patterns and performance trends, giving you the longitudinal data needed to distinguish chronic issues from one-off outages

One-Click Reports

Email compliance reports and corrective action steps directly to company points of contact

How Arc Compliance Works

1

Capture Messages

Continuously monitors all message topics and event streams, capturing every message published by services across your ecosystem

2

Validate Schema

Checks message structure, required fields, data types, and format compliance against your defined standards

3

Calculate Scores

Generates automated compliance grades based on data quality, publication frequency, and schema correctness

4

Report & Alert

Displays dashboards and sends automated reports to stakeholders with actionable corrective guidance

Use Cases

Defense Data Programs

Deployed at the USSF Space Domain Awareness (SDA) TAP Lab monitoring 150+ services from 100+ companies contributing space domain awareness data. Compliance grades support cohort selection and continued investment decisions with objective, auditable criteria.

Industrial IoT and National Labs

Monitor schema conformance and data quality across large sensor networks and instrument integrations. Identify underperforming nodes, enforce reporting cadences, and generate audit-ready compliance records without manual review.

Financial API Platforms

Track SLA adherence and data format compliance across third-party data feeds, partner APIs, and internal microservices. Surface availability degradations and schema drift before they propagate into downstream analytics or risk models.

Frequently Asked Questions

Arc Compliance scores each service across multiple independent dimensions: message schema validation, required field completeness, data type correctness, publication frequency adherence, and service uptime. Each dimension is weighted and combined into a composite grade. Scores are calculated automatically and applied consistently across all services, eliminating reviewer bias and enabling direct cross-vendor comparison.

Yes. Arc Compliance supports configurable grading criteria, dimension weights, and schema definitions to match your program's specific compliance requirements. Whether your standards are defined by a government interface control document, an industry specification, or your own internal API contract, the scoring engine can be aligned to what matters for your ecosystem.

Arc Compliance has been proven in production monitoring 150+ services from 100+ contributing companies at the SDA TAP Lab, in continuous operation since July 2025. The architecture is designed to scale horizontally as your ecosystem grows, whether you are starting with 10 services or expanding to several hundred.

Arc Compliance is built on event-streaming infrastructure and is well-suited for any ecosystem using a message bus. The reference deployment runs on Kafka, but the architecture is adaptable to Pulsar, RabbitMQ, Azure Service Bus, AWS SQS, and similar platforms. Contact us to discuss your specific stack and we can scope the integration effort.

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