How does EchelonGraph detect EU AI Act ART9-RM violations?

EchelonGraph automatically detects EU AI Act ART9-RM violations using scanner rule EUAIA-9-001. The scanner checks cloud infrastructure configurations in real-time and flags non-compliant resources.

What audit questions are asked for EU AI Act ART9-RM?

Show me the risk management file for your highest-risk AI system. When was the risk management system last reviewed? What changes triggered a re-review in the last 12 months? Who approved the current risk management system?

🇪🇺EU AI Act ART9-RMRule: EUAIA-9-001critical

Risk management system established and maintained

Description

Article 9 — Providers of high-risk AI systems must establish, implement, document, and maintain a risk management system running across the entire lifecycle.

⚠️ Risk Impact

Without a documented lifecycle risk management system, the foundation of every other Article requirement collapses. Article 9 is the gateway — failure here cascades into 10+ other Article violations.

🔍 How EchelonGraph Detects This

EUAIA-9-001Automated scanner rule

EchelonGraph's Tier 1 Cloud Scanner automatically checks for this condition across all connected cloud accounts. Violations are flagged as critical-severity findings with remediation guidance.

🔧 Remediation

Establish a documented risk management process per high-risk AI system: identification, estimation, evaluation, treatment, monitoring. Review at each release. Use the EU AI Act high-level risk taxonomy plus your own granularity.

💀 Real-World Attack Scenario

A US-headquartered HR-tech company sold a résumé-screening tool to European customers, classifying the tool as 'productivity software' rather than Annex III high-risk. The first regulator inquiry came from the Spanish AEPD; the second from the Irish DPC. Without an Article 9 risk management file, the company couldn't demonstrate compliance and faced suspension from the EU market pending remediation.

💰 Cost of Non-Compliance

EU AI Act Article 9 non-compliance: up to €15M or 3% of global revenue. EU market suspension pending remediation: avg 6-9 months. Customer-contract penalty clauses for regulatory exposure: avg 5-12% of ACV.

📋 Audit Questions

1.Show me the risk management file for your highest-risk AI system.
2.When was the risk management system last reviewed?
3.What changes triggered a re-review in the last 12 months?
4.Who approved the current risk management system?

🎯 MITRE ATT&CK Mapping

T1078 — Valid Accounts

🏗️ Infrastructure as Code Fix

main.tf

resource "github_repository_file" "ai_risk_mgmt_file" {
  repository = "compliance-docs"
  file       = "high-risk-ai/risk-management-system.yaml"
  content    = yamlencode({
    article = "EU AI Act Article 9"
    system_name = var.ai_system_name
    annex_iii_category = var.annex_iii_category
    lifecycle_stages = ["design","data","training","validation","deployment","monitoring","retire"]
    last_reviewed = formatdate("YYYY-MM-DD", timestamp())
    approver = var.risk_management_approver
  })
}

⚡ Common Pitfalls

⛔Treating Article 9 as a checkbox — 'we have a risk management policy' is not the same as 'we have a risk management system'
⛔Failing to update the risk management file when the system materially changes (new data source, new use case)
⛔Confusing organisational risk management (ISO 31000) with system-specific risk management (Article 9)

📈 Business Value

Article 9 compliance is the foundation that unlocks EU market access. Without it, you cannot place a high-risk AI system on the EU market — regardless of where you're headquartered.

⏱️ Effort Estimate

Manual

2-4 weeks initial system documentation; quarterly review

With EchelonGraph

EchelonGraph generates Article 9 risk management file templates from live workload metadata

🔗 Cross-Framework References

AIRMF-MAP-4.1ISO42001-6.1

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