DORA-Art20-P1

Article
20 (1)
Pillar
ICT Incident Detection & Reporting
Regulation Ref
Regulation (EU) 2022/2554, Article 20(1)
Last Reviewed
2026-01-15

Financial entities shall, after collecting and analysing all relevant information, submit a final report to the competent authority with details on the root cause and measures adopted to prevent recurrence.

Evidence Profiles

Incident Final Report COMMON

Final report submitted to competent authorities within one month of a major ICT-related incident, containing complete root cause analysis, total impact assessment, and preventive measures as required by DORA Articles 19-20.

Formats
PDF
Evidence Class
incident-final-report
Availability
COMMON
Update Frequency
event-driven
Typical Author
CISO
Approval Chain
CISO → CRO → Board Risk Committee

Content Sections

Expected Fields

Common Quality Issues

View Example

Generated example artifact using the default institution profile (COMMON availability, synthetic data only).

PLAIN_TEXT — Inline Preview
MAJOR ICT INCIDENT — FINAL REPORT
Nordvik Bank AG
Report Reference: RPT-INC-2025-0042-FINAL
Incident ID: INC-2025-0042
Submission Date: 19 February 2025 (within one-month deadline)
Submitted To: Swiss Financial Market Supervisory Authority (FINMA)
Classification: Confidential — Regulatory

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EXECUTIVE SUMMARY

On 28 January 2025, Nordvik Bank AG experienced a major ICT-related incident
affecting the core banking transaction processing platform. The incident was caused
by database connection pool exhaustion on the Temenos T24 system under peak morning
transaction load, resulting in approximately 35% of payment transactions failing
over a 5-hour 13-minute window.

The incident affected 12,340 clients across Switzerland and Germany, with a total
estimated financial impact of EUR 138,200. No data loss, data breach, or
unauthorised access occurred. All regulatory reporting deadlines were met: initial
notification within 3.5 hours, intermediate report within 52 hours, and this final
report within 22 days.

Root cause analysis identified four contributing factors, and five preventive
measures have been defined with implementation timelines extending to Q2 2025.

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INCIDENT TIMELINE

  Date/Time (CET)         Event
  ─────────────────────────────────────────────────────────────────────────────
  28 Jan 09:17            First automated alert — Splunk correlation rule
                          triggered on elevated T24 transaction timeout rate
  28 Jan 09:20            Second alert — Dynatrace application monitoring
                          detected response time degradation on T24 API
  28 Jan 09:25            SOC Analyst acknowledged alerts; triage initiated
  28 Jan 09:30            Customer service centre briefed with talking points
  28 Jan 09:35            Incident classified as High severity; IRT activated
  28 Jan 09:45            Customer notifications issued (push + web banner)
  28 Jan 10:00            Emergency connection pool increase (500 → 1000)
                          applied; partial improvement observed
  28 Jan 10:15            Root cause identified as connection pool exhaustion
                          compounded by connection leak in batch processing module
  28 Jan 10:45            Overflow traffic rerouted to secondary processing node;
                          containment achieved — failure rate dropped to < 2%
  28 Jan 11:00            Incident reclassified as Major per taxonomy rule MIT-02
  28 Jan 12:30            Permanent fix applied: connection leak patched, pool
                          size set to 1500 on primary node
  28 Jan 12:48            Initial notification submitted to FINMA (3h 31m)
  28 Jan 13:00            Load testing of primary node completed successfully
  28 Jan 14:00            Traffic gradually restored to primary node
  28 Jan 14:30            Full service restoration confirmed
  28 Jan 18:00            Post-restoration monitoring period ended; no issues
  30 Jan 13:15            Intermediate report submitted to FINMA (52h)

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COMPLETE IMPACT ASSESSMENT

  Impact Dimension              Final Assessment
  ─────────────────────────────────────────────────────────────────────────────
  Clients Affected              12,340 (11,200 retail, 890 corporate, 250 wealth)
  Total Duration                5 hours 13 minutes
  Geographical Spread           2 EU member states (Switzerland, Germany)
  Data Losses                   0 records (confirmed by forensic audit)
  Critical Services Impacted    1 (Core Banking Transaction Processing)
  Total Financial Impact        EUR 138,200

  Financial Impact Breakdown:
    Direct costs (response, vendor support, staffing):    EUR 27,700
    Lost transaction fee revenue:                         EUR 42,000
    Customer goodwill compensation:                       EUR 18,500
    Estimated reputational impact:                        EUR 50,000

  Transaction Impact:
    Total transactions attempted during incident window:  28,450
    Transactions failed (timeout):                        9,958 (35%)
    Transactions successfully retried after resolution:   9,958 (100%)
    Transactions incorrectly processed:                   0

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ROOT CAUSE ANALYSIS

  Analysis Reference:       RCA-INC-2025-0042
  Analysis Date:            10 February 2025
  Methodology:              Combined 5 Whys and Fault Tree Analysis
  Lead Analyst:             Marcus Weber, Incident Manager

  Root Cause:
  Database connection pool exhaustion on the Temenos T24 core banking platform,
  compounded by a connection leak in the batch payment processing module.

  5 Whys Analysis:

  Why 1: Why did transactions fail?
    → The T24 application server could not obtain database connections to process
      incoming transaction requests.

  Why 2: Why were database connections unavailable?
    → The connection pool (max 500) was fully consumed, with no connections being
      returned to the pool in a timely manner.

  Why 3: Why were connections not being returned?
    → The batch payment processing module (deployed in the December 2024 release)
      contained a connection leak — connections opened for batch reconciliation
      were not properly closed in the error handling path.

  Why 4: Why was the connection leak not detected before production?
    → The batch module's integration tests did not include error-path scenarios
      that would trigger the leak. The connection pool monitoring threshold (95%)
      was too high to provide early warning.

  Why 5: Why was the connection pool sized at 500?
    → The pool size was set during the June 2024 capacity planning exercise based
      on Q1 2024 peak volumes. The 15% increase in digital banking adoption in
      Q4 2024 was not reflected in a capacity review.

  Contributing Factors:
  1. Connection leak in batch processing module (December 2024 release)
  2. Insufficient connection pool capacity for current transaction volumes
  3. Monitoring threshold too high (95%) for timely proactive intervention
  4. Capacity planning cycle did not account for Q4 2024 growth

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

RECOVERY ACTIONS

  Action                                    Date Completed      Performed By
  ─────────────────────────────────────────────────────────────────────────────
  Emergency connection pool increase        28 Jan 2025         IT Infrastructure
  Traffic rerouted to secondary node        28 Jan 2025         IT Infrastructure
  Connection leak hotfix deployed           28 Jan 2025         Application Support
  Primary node restored and verified        28 Jan 2025         IT Infrastructure
  Post-restoration monitoring (3h)          28 Jan 2025         SOC
  Batch module regression test suite run    29 Jan 2025         QA Team

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PREVENTIVE MEASURES

  ID    Measure                                   Owner           Target Date
  ─────────────────────────────────────────────────────────────────────────────
  PM-01 Implement automatic connection pool        IT Infra        28 Feb 2025
        scaling with dynamic upper bound
  PM-02 Revise monitoring thresholds: alert at     SOC Manager     7 Feb 2025
        75% pool utilisation (was 95%)
  PM-03 Add connection leak detection tests to     QA Lead         14 Feb 2025
        all database-accessing modules
  PM-04 Move capacity planning to monthly          CIO             1 Mar 2025
        review cycle (was quarterly)
  PM-05 Deploy connection pool health dashboard    IT Infra        28 Feb 2025
        with trend analysis and forecasting

  Implementation Status (as of report date):
    PM-01: In progress (vendor engagement completed)
    PM-02: Completed (7 February 2025)
    PM-03: Completed (12 February 2025)
    PM-04: Approved; first monthly review scheduled 1 March 2025
    PM-05: In progress (dashboard design completed)

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LESSONS LEARNED

  1. Connection pool monitoring thresholds must provide sufficient lead time for
     proactive intervention — 95% is too late for a pool that can exhaust in
     minutes under peak load.

  2. Capacity planning must be responsive to business growth metrics. A quarterly
     cycle is insufficient when digital adoption is growing at 15% per quarter.

  3. Integration testing for database-accessing modules must include error-path
     scenarios that verify connection cleanup.

  4. The secondary processing node proved effective as a containment measure,
     validating the investment in active-passive redundancy for the T24 platform.

  5. Regulatory notification process worked as designed — all deadlines met with
     margin. The pre-prepared notification templates reduced preparation time.

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REGULATORY COMPLIANCE ASSESSMENT

  Reporting Obligation              Deadline            Actual              Status
  ─────────────────────────────────────────────────────────────────────────────
  Initial notification (4h)         28 Jan 13:17 CET    28 Jan 12:48 CET    Met
  Intermediate report (72h)         31 Jan 09:17 CET    30 Jan 13:15 CET    Met
  Final report (1 month)            28 Feb 2025         19 Feb 2025         Met

  The Bank's incident management process operated in compliance with DORA
  Articles 17–20 throughout this incident. All regulatory reporting deadlines
  were met, and the competent authority was kept informed at each stage.

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Prepared by: Marcus Weber, Incident Manager
Root Cause Analysis by: Marcus Weber, Incident Manager
Reviewed by: Katrin Halvorsen, CISO
Approved by: Erik Lindqvist, CRO
Board Risk Committee notified: 19 February 2025
Date: 19 February 2025

Expected Structured Facts

Example structured facts that Detrixa would extract from this evidence (synthetic data, deterministic seed).

incident_final_report_status — fs-incident-final-report
{
  "factId": "b1c2d3e4-f5a6-7890-abcd-200000000006",
  "evidenceId": "a0b1c2d3-e4f5-6789-abcd-200000000006",
  "evidenceClassId": "incident-final-report",
  "factType": "incident_final_report_status",
  "data": {
    "incident_id": "INC-2025-0042",
    "submission_date": "2025-02-19",
    "has_root_cause_analysis": true,
    "has_preventive_measures": true,
    "total_duration_hours": 5.22,
    "total_clients_affected": 12340,
    "total_financial_impact_eur": 138200.00,
    "preventive_measures_count": 5,
    "submitted_within_deadline": true
  },
  "provenance": "deterministic",
  "extractorVersion": "dora-test-generator/0.1.0",
  "extractedAt": "2025-02-28T09:00:00Z",
  "supersededBy": null
}
incident_root_cause_analysis — fs-incident-root-cause-analysis
{
  "factId": "b1c2d3e4-f5a6-7890-abcd-200000000007",
  "evidenceId": "a0b1c2d3-e4f5-6789-abcd-200000000007",
  "evidenceClassId": "incident-root-cause-analysis",
  "factType": "incident_root_cause_analysis",
  "data": {
    "incident_id": "INC-2025-0042",
    "analysis_date": "2025-02-10",
    "methodology_used": "combined",
    "root_cause_identified": true,
    "root_cause_category": "technical",
    "corrective_actions_count": 5,
    "corrective_actions_completed": 4,
    "systemic_risk_identified": true
  },
  "provenance": "deterministic",
  "extractorVersion": "dora-test-generator/0.1.0",
  "extractedAt": "2025-02-28T09:00:00Z",
  "supersededBy": null
}

ICT Incident Root Cause Analysis Report PARTIAL

Detailed root cause analysis document for ICT-related incidents, using structured methodologies (5 Whys, fishbone diagram, fault tree analysis) to identify underlying causes and recommend corrective actions.

Formats
DOCX PDF
Evidence Class
incident-root-cause-analysis
Availability
PARTIAL
Update Frequency
event-driven
Typical Author
Incident Manager
Approval Chain
Incident Manager → CISO

Content Sections

Expected Fields

Common Quality Issues

View Example

Generated example artifact using the default institution profile (COMMON availability, synthetic data only).

PLAIN_TEXT — Inline Preview
ICT INCIDENT ROOT CAUSE ANALYSIS REPORT
Nordvik Bank AG
Analysis Reference: RCA-INC-2025-0042
Incident ID: INC-2025-0042
Analysis Date: 10 February 2025
Classification: Confidential

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1. INCIDENT SUMMARY

  Incident Title:       Core Banking Platform — Transaction Processing Failure
  Incident Date:        28 January 2025
  Duration:             5 hours 13 minutes (09:17 – 14:30 CET)
  Severity:             High (reclassified to Major during incident)
  Impact:               12,340 clients affected; EUR 138,200 total financial impact
  Data Loss:            None

  Brief Description:
  Intermittent transaction processing failures on the Temenos T24 core banking
  platform caused by database connection pool exhaustion. Approximately 35% of
  payment transactions through digital channels failed with timeout errors during
  the incident window.

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2. ANALYSIS METHODOLOGY

  Primary Method:       5 Whys Analysis
  Supporting Method:    Fault Tree Analysis
  Data Sources:
    — Application server logs (Temenos T24, 28 Jan 08:00–19:00 CET)
    — Database connection pool metrics (Oracle, 28 Jan 00:00–23:59 CET)
    — SIEM correlation events (Splunk, 28 Jan 09:00–15:00 CET)
    — Application performance monitoring data (Dynatrace, 7-day window)
    — Deployment records (December 2024 release notes)
    — Capacity planning documentation (June 2024 review)
    — Digital banking adoption metrics (Q3–Q4 2024)

  Analysis Team:
    — Marcus Weber, Incident Manager (Lead Analyst)
    — Lars Eriksson, Head of IT Infrastructure
    — Thomas Andersen, Head of Digital Banking
    — DBA Lead, Database Administration

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3. CONTRIBUTING FACTORS

  Factor 1: Connection Leak in Batch Processing Module
  ─────────────────────────────────────────────────────────────────────────────
  The batch payment reconciliation module, deployed in the December 2024 release
  (v2024.12.1), contained a defect in its error handling path. When a batch
  reconciliation query encountered a timeout or constraint violation, the module
  failed to close the database connection before throwing the exception. Under
  normal operation, this leak was masked because error-path execution was rare.
  On the morning of 28 January, a batch reconciliation job processing 4,200
  records encountered 23 constraint violations, leaking 23 connections.

  Factor 2: Insufficient Connection Pool Capacity
  ─────────────────────────────────────────────────────────────────────────────
  The T24 database connection pool was configured with a maximum of 500
  connections, based on the capacity planning exercise conducted in June 2024.
  That exercise used Q1 2024 peak transaction volumes (18,500 transactions/hour)
  as the baseline. By January 2025, peak volumes had reached 22,400
  transactions/hour — a 21% increase driven by the 15% growth in digital banking
  adoption during Q4 2024.

  Factor 3: Monitoring Threshold Too High
  ─────────────────────────────────────────────────────────────────────────────
  The connection pool utilisation alert was configured to trigger at 95% (475 of
  500 connections). At peak transaction rates, the pool could move from 95% to
  100% in under 3 minutes, providing insufficient time for proactive intervention.
  The alert triggered at 09:14 CET, only 3 minutes before the first transaction
  failures.

  Factor 4: Capacity Planning Cycle Gap
  ─────────────────────────────────────────────────────────────────────────────
  The quarterly capacity planning cycle scheduled for Q4 2024 was deferred to
  January 2025 due to the year-end change freeze. This meant the 15% growth in
  digital banking adoption during Q4 2024 was not reflected in infrastructure
  capacity adjustments before the incident.

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4. ROOT CAUSE IDENTIFICATION

  Primary Root Cause:
  Connection leak in the batch payment reconciliation module (v2024.12.1) that
  failed to release database connections on the error handling path, combined
  with a connection pool sized for Q1 2024 volumes that had been outgrown by
  21% transaction growth.

  Root Cause Category: Technical (software defect + infrastructure configuration)

  Fault Tree Summary:
  Transaction failures
    ├── Connection pool exhausted (500/500)
    │   ├── Leaked connections from batch module (23 connections)
    │   │   └── Missing connection.close() in catch block
    │   ├── Peak load exceeding pool capacity
    │   │   └── 21% volume growth since last capacity review
    │   └── No automatic pool scaling configured
    └── No failover to secondary node (manual process)
        └── Automatic failover not implemented for T24

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

5. CORRECTIVE ACTIONS

  ID    Action                                    Owner           Deadline    Status
  ─────────────────────────────────────────────────────────────────────────────
  CA-01 Patch connection leak in batch module      App Support     31 Jan      Done
  CA-02 Increase pool to 1500 (permanent)          IT Infra        31 Jan      Done
  CA-03 Add error-path integration tests           QA Lead         14 Feb      Done
  CA-04 Lower monitoring threshold to 75%          SOC Manager     7 Feb       Done
  CA-05 Implement auto-scaling for pool            IT Infra        28 Feb      In progress

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

6. PREVENTIVE RECOMMENDATIONS

  ID    Recommendation                            Owner           Deadline
  ─────────────────────────────────────────────────────────────────────────────
  PR-01 Move capacity planning to monthly cycle    CIO             1 Mar 2025
  PR-02 Deploy connection pool health dashboard    IT Infra        28 Feb 2025
  PR-03 Mandate connection cleanup verification    Dev Lead        31 Mar 2025
        in all code reviews for DB-accessing code
  PR-04 Implement automated failover for T24       IT Infra        30 Jun 2025
  PR-05 Add connection leak detection to CI/CD     QA Lead         31 Mar 2025
        pipeline (static analysis rule)

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7. IMPLEMENTATION PLAN

  Phase 1 — Immediate (completed):
    CA-01 through CA-04 completed within 14 days of incident

  Phase 2 — Short-term (February 2025):
    CA-05, PR-01, PR-02 targeted for completion by end of February

  Phase 3 — Medium-term (Q1–Q2 2025):
    PR-03, PR-04, PR-05 targeted for completion by end of Q2 2025

  Tracking: All actions tracked in the ICT risk register under risk ID
  ICT-R-2025-42. Monthly progress review by ICT Risk Committee.

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Prepared by: Marcus Weber, Incident Manager
Reviewed by: Katrin Halvorsen, CISO
Approved by: Erik Lindqvist, CRO
Date: 10 February 2025

Expected Structured Facts

Example structured facts that Detrixa would extract from this evidence (synthetic data, deterministic seed).

incident_final_report_status — fs-incident-final-report
{
  "factId": "b1c2d3e4-f5a6-7890-abcd-200000000006",
  "evidenceId": "a0b1c2d3-e4f5-6789-abcd-200000000006",
  "evidenceClassId": "incident-final-report",
  "factType": "incident_final_report_status",
  "data": {
    "incident_id": "INC-2025-0042",
    "submission_date": "2025-02-19",
    "has_root_cause_analysis": true,
    "has_preventive_measures": true,
    "total_duration_hours": 5.22,
    "total_clients_affected": 12340,
    "total_financial_impact_eur": 138200.00,
    "preventive_measures_count": 5,
    "submitted_within_deadline": true
  },
  "provenance": "deterministic",
  "extractorVersion": "dora-test-generator/0.1.0",
  "extractedAt": "2025-02-28T09:00:00Z",
  "supersededBy": null
}
incident_root_cause_analysis — fs-incident-root-cause-analysis
{
  "factId": "b1c2d3e4-f5a6-7890-abcd-200000000007",
  "evidenceId": "a0b1c2d3-e4f5-6789-abcd-200000000007",
  "evidenceClassId": "incident-root-cause-analysis",
  "factType": "incident_root_cause_analysis",
  "data": {
    "incident_id": "INC-2025-0042",
    "analysis_date": "2025-02-10",
    "methodology_used": "combined",
    "root_cause_identified": true,
    "root_cause_category": "technical",
    "corrective_actions_count": 5,
    "corrective_actions_completed": 4,
    "systemic_risk_identified": true
  },
  "provenance": "deterministic",
  "extractorVersion": "dora-test-generator/0.1.0",
  "extractedAt": "2025-02-28T09:00:00Z",
  "supersededBy": null
}

Fact Schemas

incident_final_report_status

Schema ID
fs-incident-final-report
Control
DORA-Art20-P1

Valid Ranges

submission_date
within 1 month of incident resolution
total_duration_hours
actual incident duration

Related Schemas

JSON Schema

{
  "properties": {
    "has_preventive_measures": {
      "type": "boolean"
    },
    "has_root_cause_analysis": {
      "type": "boolean"
    },
    "incident_id": {
      "minLength": 1,
      "type": "string"
    },
    "preventive_measures_count": {
      "minimum": 0,
      "type": "integer"
    },
    "submission_date": {
      "format": "date",
      "type": "string"
    },
    "submitted_within_deadline": {
      "type": "boolean"
    },
    "total_clients_affected": {
      "minimum": 0,
      "type": "integer"
    },
    "total_duration_hours": {
      "minimum": 0,
      "type": "number"
    },
    "total_financial_impact_eur": {
      "minimum": 0,
      "type": "number"
    }
  },
  "required": [
    "incident_id",
    "submission_date",
    "has_root_cause_analysis",
    "has_preventive_measures",
    "total_duration_hours"
  ],
  "type": "object"
}

incident_root_cause_analysis

Schema ID
fs-incident-root-cause-analysis
Control
DORA-Art21-P1

Valid Ranges

analysis_date
within 30 days of incident resolution
corrective_actions_completed
should equal corrective_actions_count for full remediation

Related Schemas

JSON Schema

{
  "properties": {
    "analysis_date": {
      "format": "date",
      "type": "string"
    },
    "corrective_actions_completed": {
      "minimum": 0,
      "type": "integer"
    },
    "corrective_actions_count": {
      "minimum": 0,
      "type": "integer"
    },
    "incident_id": {
      "minLength": 1,
      "type": "string"
    },
    "methodology_used": {
      "enum": [
        "five_whys",
        "fishbone",
        "fault_tree",
        "combined",
        "other"
      ],
      "type": "string"
    },
    "root_cause_category": {
      "enum": [
        "technical",
        "process",
        "human",
        "external",
        "vendor"
      ],
      "type": "string"
    },
    "root_cause_identified": {
      "type": "boolean"
    },
    "systemic_risk_identified": {
      "type": "boolean"
    }
  },
  "required": [
    "incident_id",
    "analysis_date",
    "methodology_used",
    "root_cause_identified",
    "corrective_actions_count"
  ],
  "type": "object"
}