+Anomalous Behavior
---+Unusual Transactions
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Anomalous Behavior
Description
Mechanisms exist to utilize User & Entity Behavior Analytics (UEBA) and/or User Activity Monitoring (UAM) solutions to detect and respond to anomalous behavior that could indicate account compromise or other malicious activities.
Possible Solutions & Considerations
Micro-Small Business (<10 staff) / BLS Firm Size Classes 1-2
∙ Indicators of Compromise (IoC) ∙ Indicators of Exposure (IoE) ∙ Managed Security Services Provider (MSSP)
Small Business (10-49 staff) / BLS Firm Size Classes 3-4
∙ Indicators of Compromise (IoC) ∙ Indicators of Exposure (IoE) ∙ Security Incident Event Manager (SIEM) ∙ Managed Security Services Provider (MSSP)
Medium Business (50-249 staff) / BLS Firm Size Classes 5-6
∙ Indicators of Compromise (IoC) ∙ Indicators of Exposure (IoE) ∙ Security Incident Event Manager (SIEM) ∙ Extended Detection and Response (XDR) ∙ Managed Security Services Provider (MSSP)
Large Business (250-999 staff) / BLS Firm Size Classes 7-8
∙ Indicators of Compromise (IoC) ∙ Indicators of Exposure (IoE) ∙ Security Incident Event Manager (SIEM) ∙ Extended Detection and Response (XDR) ∙ Managed Security Services Provider (MSSP)
Enterprise (> 1,000 staff) / BLS Firm Size Class 9
∙ Indicators of Compromise (IoC) ∙ Indicators of Exposure (IoE) ∙ Security Incident Event Manager (SIEM) ∙ Extended Detection and Response (XDR) ∙ Managed Security Services Provider (MSSP)
SCR-CMM
Level 0 Not Performed
Practices are non-existent, based on the inability to demonstrate an implemented and operational capability. A reasonable person would conclude the control is not being performed.
Level 1 Performed Informally
Continuous Monitoring (MON) domain capabilities are ad hoc and inconsistent. Capability criteria associated with this control may include: ▪ Policies, standards & procedures associated with MON domain capabilities provide limited coverage due to the depth and breadth of the existing documentation. ▪ Event monitoring-related activities are decentralized (e.g., a localized/regionalized function) and uses non-standardized methods to implement secure, resilient and compliant practices. ▪ Monitoring is primarily reactive in nature, focused on identifying incidents that occurred. ▪ Event log reviews primarily rely on manual processes to identify anomalous behaviors.
Level 2 Planned Tracked
Continuous Monitoring (MON) capabilities are requirements-driven, but are not standardized across the entity (e.g., local/regional level consistency). Capability criteria associated with this control reasonably expect the following criteria to exist: ▪ Policies and standards associated with MON domain capabilities are formally documented and centrally-managed by the entity. ▪ Standardized Operating Procedures (SOP) associated with MON domain capabilities are documented and maintained by process owners. ▪ IT and/or cybersecurity personnel work with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with MON domain capabilities to address applicable statutory, regulatory and/or contractual requirements for Technology Assets, Applications, Services and/or Data (TAASD). ▪ Continuous monitoring-related controls are primarily administrative and preventative in nature (e.g., policies, standards and procedures & guidelines). ▪ Continuous monitoring may be a defined function (e.g., team or department) or assigned as an additional duty to existing IT and/or cybersecurity personnel.
Level 3 Well Defined
Continuous Monitoring (MON) capabilities are standardized across the entity for applicability to People, Processes, Technologies, Data and/or Facilities (PPTDF) to ensure consistency for Technology Assets, Applications, Services and/or Data (TAASD). Capability criteria associated with this control reasonably expect the following criteria to exist: ▪ Policies and standards associated with MON domain capabilities are formally documented and centrally-managed by the entity's Governance, Risk & Compliance (GRC) team, or similar function. ▪ Cybersecurity personnel use a structured process via Standardized Operating Procedures (SOP) to review and analyze logs. ▪ A Security Operations Center (SOC) team, or similar function, is appropriately staffed and supported to implement and maintain MON domain capabilities. ▪ Technology is leveraged to enhance the efficiency and accuracy of continuous monitoring operations (e.g., Security Incident Event Manager (SIEM)). ▪ The entity's Governance, Risk & Compliance (GRC) team, or similar function, works with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with MON domain capabilities to address Minimum Compliance Requirements (MCR) (e.g., applicable statutory, regulatory and/or contractual requirements) and Discretionary Security Requirements (DSR) (e.g., entity-required controls). ▪ Secure Baseline Configurations (SBC) enforce security event logging to contain sufficient information to establish necessary details of activity and allow for forensics analysis. ▪ An implemented and operational capability exists to utilize User & Entity Behavior Analytics (UEBA) and/or User Activity Monitoring (UAM) solutions to detect and respond to anomalous behavior that could indicate account compromise or other malicious activities.
Level 4 Quantitatively Controlled
Utilize SCR-CMM Level 3 criteria definitions: ▪ There are no defined Level 4 criteria, since it is reasonable to assume a quantitatively-controlled process is not necessary to operationalize this control. ▪ While it may be possible to develop “metrics-driven” capabilities for this control, the criteria would be organization-specific to define.
Level 5 Continuously Improving
Utilize SCR-CMM Level 3 or Level 4 (if available) criteria definitions: ▪ There are no defined Level 5 criteria, since it is reasonable to assume a continuously-improving process is not necessary to operationalize this control. ▪ Level 5 capabilities should be considered “world-class” where the control builds on Level 4 capabilities, but are continuously improving through Artificial Intelligence (AI) and/or Machine Learning (ML) technologies. ▪ While it may be possible to develop responsive capabilities for this control through the use of AI and/or ML technologies, the criteria would be organization-specific to define.
1. Übersicht
| Bezeichnung |
Standard |
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Unusual Transactions
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Description
Mechanisms exist to define "normal business activities" to identify anomalous transaction activities that can reduce the opportunity for sending (outbound) and/or receiving (inbound) hostile and/or fraudulent actions.
Possible Solutions & Considerations
Micro-Small Business (<10 staff) / BLS Firm Size Classes 1-2
∙ Indicators of Fraud (IoF) (e.g., fraud "red flags")
Small Business (10-49 staff) / BLS Firm Size Classes 3-4
∙ Indicators of Fraud (IoF) (e.g., fraud "red flags")
Medium Business (50-249 staff) / BLS Firm Size Classes 5-6
∙ Indicators of Fraud (IoF) (e.g., fraud "red flags")
Large Business (250-999 staff) / BLS Firm Size Classes 7-8
∙ Indicators of Fraud (IoF) (e.g., fraud "red flags")
Enterprise (> 1,000 staff) / BLS Firm Size Class 9
∙ Indicators of Fraud (IoF) (e.g., fraud "red flags")
SCR-CMM
Level 0 Not Performed
Practices are non-existent, based on the inability to demonstrate an implemented and operational capability. A reasonable person would conclude the control is not being performed.
Level 1 Performed Informally
SCR-CMM Level 1 criteria definitions are not available for this control: ▪ A reasonable person would conclude this control requires a structured process. ▪ At this level of maturity, the "ad hoc" nature of performing a capability informally would indicate the intent of the control is not met due to a lack of consistency and formality.
Level 2 Planned Tracked
Data Classification & Handling (DCH) capabilities are requirements-driven, but are not standardized across the entity (e.g., local/regional level consistency). Capability criteria associated with this control reasonably expect the following criteria to exist: ▪ Policies and standards associated with DCH domain capabilities are formally documented and centrally-managed by the entity. ▪ Standardized Operating Procedures (SOP) associated with DCH domain capabilities are documented and maintained by process owners. ▪ IT and/or cybersecurity personnel work with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with DCH domain capabilities to address applicable statutory, regulatory and/or contractual requirements for Technology Assets, Applications, Services and/or Data (TAASD). ▪ Data classification and handling-related controls are primarily administrative and preventative in nature (e.g., policies, standards and procedures & guidelines). ▪ Data classification and handling management may be a defined function (e.g., team or department) or assigned as an additional duty to existing IT and/or cybersecurity personnel. ▪ A formalized data classification scheme exists to identify categories of data, based on protection requirements from applicable laws, regulations and/or contractual obligations.
Level 3 Well Defined
Continuous Monitoring (MON) capabilities are standardized across the entity for applicability to People, Processes, Technologies, Data and/or Facilities (PPTDF) to ensure consistency for Technology Assets, Applications, Services and/or Data (TAASD). Capability criteria associated with this control reasonably expect the following criteria to exist: ▪ Policies and standards associated with MON domain capabilities are formally documented and centrally-managed by the entity's Governance, Risk & Compliance (GRC) team, or similar function. ▪ Cybersecurity personnel use a structured process via Standardized Operating Procedures (SOP) to review and analyze logs. ▪ A Security Operations Center (SOC) team, or similar function, is appropriately staffed and supported to implement and maintain MON domain capabilities. ▪ Technology is leveraged to enhance the efficiency and accuracy of continuous monitoring operations (e.g., Security Incident Event Manager (SIEM)). ▪ The entity's Governance, Risk & Compliance (GRC) team, or similar function, works with business stakeholders and process owners to appropriately scope and reasonably implement cybersecurity and data protection controls associated with MON domain capabilities to address Minimum Compliance Requirements (MCR) (e.g., applicable statutory, regulatory and/or contractual requirements) and Discretionary Security Requirements (DSR) (e.g., entity-required controls). ▪ Secure Baseline Configurations (SBC) enforce security event logging to contain sufficient information to establish necessary details of activity and allow for forensics analysis. ▪ An implemented and operational capability exists to establish organization-defined "normal business activities" to identify anomalous transaction activities that can reduce the opportunity for sending (outbound) and/or receiving (inbound) fraudulent actions.
Level 4 Quantitatively Controlled
Utilize SCR-CMM Level 3 criteria definitions: ▪ There are no defined Level 4 criteria, since it is reasonable to assume a quantitatively-controlled process is not necessary to operationalize this control. ▪ While it may be possible to develop “metrics-driven” capabilities for this control, the criteria would be organization-specific to define.
Level 5 Continuously Improving
Utilize SCR-CMM Level 3 or Level 4 (if available) criteria definitions: ▪ There are no defined Level 5 criteria, since it is reasonable to assume a continuously-improving process is not necessary to operationalize this control. ▪ Level 5 capabilities should be considered “world-class” where the control builds on Level 4 capabilities, but are continuously improving through Artificial Intelligence (AI) and/or Machine Learning (ML) technologies. ▪ While it may be possible to develop responsive capabilities for this control through the use of AI and/or ML technologies, the criteria would be organization-specific to define.
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1.1 Referenzen
1.2 Identifizierte Anforderungen
1.3 Zugehörige Regulierungen
2. Identifizierte Anforderungen
Anforderungen
| Quelle |
Anforderung |
3. Zugehörige Regulierungen
Regulierungen
| Quelle |
Regulierung |
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EULAW
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Artikel 10 (1)
Finanzunternehmen verfügen über Mechanismen, um anomale Aktivitäten im Einklang mit Artikel 17, darunter auch Probleme bei der Leistung von IKT-Netzwerken und IKT-bezogene Vorfälle, umgehend zu erkennen und potenzielle einzelne wesentliche Schwachstellen zu ermitteln. Alle in Unterabsatz 1 aufgeführten Erkennungsmechanismen werden gemäß Artikel 25 regelmäßig getestet.
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EULAW
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Artikel 22 Richtlinien für die Behandlung IKT-bezogener Vorfälle
Artikel 22
Richtlinien für die Behandlung IKT-bezogener Vorfälle
Im Rahmen des Mechanismus zur Erkennung anomaler Aktivitäten, worunter auch Probleme bei der Leistung von IKT-Netzwerken und IKT-bezogene Vorfälle fallen, entwickeln, dokumentieren und implementieren die Finanzunternehmen Richtlinien für IKT-bezogene Vorfälle, in deren Rahmen sie
a)
den in Artikel 17 der Verordnung (EU) 2022/2554 genannten Prozess für die Behandlung IKT-bezogener Vorfälle dokumentieren,
b)
eine Liste der relevanten Kontakte erstellen, die mit internen Funktionen und externen Interessenträgern, die direkt an der IKT-Betriebssicherheit beteiligt sind, unter anderem in Bezug auf Folgendes unterhalten werden:
i)
die Erkennung und Überwachung von Cyberbedrohungen,
ii)
die Erkennung anomaler Aktivitäten,
iii)
das Schwachstellenmanagement;
c)
technische, organisatorische und operative Mechanismen zur Unterstützung des Prozesses für die Behandlung IKT-bezogener Vorfälle einrichten, implementieren und betreiben, darunter auch Mechanismen, die eine rasche Erkennung anomaler Tätigkeiten und Verhaltensweisen gemäß Artikel 23 ermöglichen,
▼C1
d)
gemäß Artikel 8 Absatz 2 der Delegierten Verordnung (EU) 2024/1772 der Kommission (
2
) und gemäß allen nach Unionsrecht geltenden Speichervorschriften alle Nachweise im Zusammenhang mit IKT-bezogenen Vorfällen so lange aufbewahren, wie es für die Zwecke der Datenerhebung unbedingt erforderlich und der Kritikalität der betreffenden Unternehmensfunktionen, unterstützenden Prozesse sowie IKT- und Informationsassets angemessen ist,
▼B
e)
Mechanismen zur Analyse bedeutender oder wiederkehrender IKT-bezogener Vorfälle und -Muster in Bezug auf Anzahl und Auftreten IKT-bezogener Vorfälle einrichten und implementieren.
Für die Zwecke des Buchstabens d bewahren die Finanzunternehmen die dort genannten Nachweise auf sichere Weise auf.
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EULAW
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Artikel 23 Erkennung anormaler Aktivitäten und Kriterien für die Erkennung IKT-bezogener Vorfälle und die Reaktion auf solche Vorfälle
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EULAW
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Artikel 23 Erkennung anormaler Aktivitäten und Kriterien für die Erkennung IKT-bezogener Vorfälle und die Reaktion auf solche Vorfälle
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EULAW
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Artikel 34 IKT-Betriebssicherheit
Artikel 34
Die in Artikel 16 Absatz 1 der Verordnung (EU) 2022/2554 genannten Finanzunternehmen müssen im Rahmen ihrer Systeme, Protokolle und Tools sowie bei allen IKT-Assets
a)
den Lebenszyklus aller IKT-Assets überwachen und managen;
b)
überwachen, ob die IKT-Assets von IKT-Drittdienstleistern der Finanzunternehmen unterstützt werden, sofern anwendbar;
c)
die Kapazitätsanforderungen ihrer IKT-Assets und Maßnahmen ermitteln, um die Verfügbarkeit und Effizienz der IKT-Systeme zu wahren und zu verbessern und IKT-Kapazitätsengpässen vorzubeugen, bevor sie auftreten;
d)
eine automatisierte Schwachstellensuche sowie Bewertungen der IKT-Assets durchführen, die der in Artikel 30 Absatz 1 genannten Klassifizierung und dem Gesamtrisikoprofil des betreffenden IKT-Assets angemessen sind, und Patches zur Behebung ermittelter Schwachstellen installieren;
e)
die mit veralteten oder nicht unterstützten IKT-Assets oder mit IKT-Altsystemen verbundenen Risiken managen;
f)
Vorfälle im Zusammenhang mit der logischen und physischen Zugangskontrolle, dem IKT-Betrieb, einschließlich System- und Netzwerkverkehr, sowie dem IKT-Änderungsmanagement protokollieren;
g)
Maßnahmen ermitteln und umsetzen, um Informationen über anomale Aktivitäten und anomales Verhalten bei kritischen oder wichtigen IKT-Vorgängen zu überwachen und zu analysieren;
h)
Maßnahmen zur Überwachung relevanter und aktueller Informationen über Cyberbedrohungen umsetzen;
i)
Maßnahmen zur Erkennung etwaiger Informationslecks, Schadcodes und anderer Sicherheitsbedrohungen sowie öffentlich bekannter Schwachstellen in Software und Hardware umsetzen und die Verfügbarkeit entsprechender neuer Sicherheitsupdates prüfen.
Für die Zwecke von Buchstabe f stimmen die Finanzunternehmen den Detaillierungsgrad der Protokolle auf deren Zweck und auf die Nutzung des IKT-Assets ab, der diese Protokolle produziert.
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EULAW
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Artikel 10 Erkennung
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Verknüpfte Vorgänge
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