+Anomalous Behavior
---+Unusual Transactions

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. Επισκόπηση

Τίτλος Πρότυπο
Unusual Transactions

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.

1.1 Παραπομπές

1.2 Εντοπισμένες απαιτήσεις

1.3 Σχετικοί κανονισμοί

2. Εντοπισμένες απαιτήσεις

Απαιτήσεις
Πηγή Απαίτηση

3. Σχετικοί κανονισμοί

Κανονισμοί
Πηγή Κανονισμός
EULAW Άρθρο 10 1

1.   Οι χρηματοοικονομικές οντότητες διαθέτουν μηχανισμούς για τον άμεσο εντοπισμό ασυνήθιστων δραστηριοτήτων, σύμφωνα με το άρθρο 17, συμπεριλαμβανομένων ζητημάτων που αφορούν τις επιδόσεις του δικτύου ΤΠΕ και συμβάντων που σχετίζονται με τις ΤΠΕ, καθώς και για τον προσδιορισμό των δυνητικά σημαντικών μοναδικών σημείων αποτυχίας.

Όλοι οι μηχανισμοί εντοπισμού που αναφέρονται στο πρώτο εδάφιο υποβάλλονται τακτικά σε δοκιμές σύμφωνα με το άρθρο 25.

EULAW Άρθρο 22 Πολιτική διαχείρισης συμβάντων που σχετίζονται με τις ΤΠΕ

Άρθρο 22

Πολιτική διαχείρισης συμβάντων που σχετίζονται με τις ΤΠΕ

Στο πλαίσιο των μηχανισμών για τον εντοπισμό ασυνήθιστων δραστηριοτήτων, συμπεριλαμβανομένων ζητημάτων που αφορούν τις επιδόσεις του δικτύου ΤΠΕ και συμβάντων που σχετίζονται με τις ΤΠΕ, οι χρηματοοικονομικές οντότητες αναπτύσσουν, τεκμηριώνουν και εφαρμόζουν πολιτική συμβάντων που σχετίζονται με τις ΤΠΕ, μέσω της οποίας:

α) 

τεκμηριώνουν τη διαδικασία διαχείρισης συμβάντων που σχετίζονται με τις ΤΠΕ, η οποία αναφέρεται στο άρθρο 17 του κανονισμού (ΕΕ) 2022/2554·

β) 

καταρτίζουν κατάλογο των σχετικών επαφών με εσωτερικές λειτουργίες και εξωτερικά ενδιαφερόμενα μέρη που συμμετέχουν άμεσα στην ασφάλεια των λειτουργιών ΤΠΕ, μεταξύ άλλων όσον αφορά:

i) 

τον εντοπισμό και την παρακολούθηση κυβερνοαπειλών·

ii) 

τον εντοπισμό ασυνήθιστων δραστηριοτήτων·

iii) 

τη διαχείριση ευπαθειών·

γ) 

θεσπίζουν, εφαρμόζουν και θέτουν σε λειτουργία τεχνικούς, οργανωτικούς και επιχειρησιακούς μηχανισμούς για την υποστήριξη της διαδικασίας διαχείρισης συμβάντων που σχετίζονται με τις ΤΠΕ, συμπεριλαμβανομένων μηχανισμών που επιτρέπουν τον έγκαιρο εντοπισμό ασυνήθιστων δραστηριοτήτων και συμπεριφορών σύμφωνα με το άρθρο 23 του παρόντος κανονισμού·

▼C1

δ) 

διατηρούν όλα τα αποδεικτικά στοιχεία για τα συμβάντα που σχετίζονται με τις ΤΠΕ για χρονικό διάστημα που δεν υπερβαίνει το αναγκαίο για τους σκοπούς για τους οποίους συλλέγονται τα δεδομένα, ανάλογα με την κρισιμότητα των επηρεαζόμενων επιχειρηματικών λειτουργιών, των υποστηρικτικών διαδικασιών, των πόρων ΤΠΕ και των πληροφοριακών πόρων, σύμφωνα με το άρθρο 8 παράγραφος 2 του κατ’ εξουσιοδότηση κανονισμού (ΕΕ) 2024/1772 της Επιτροπής ( 2 ) και με οποιαδήποτε ισχύουσα απαίτηση διατήρησης σύμφωνα με το ενωσιακό δίκαιο·

▼B

ε) 

θεσπίζουν και εφαρμόζουν μηχανισμούς για την ανάλυση σημαντικών ή επαναλαμβανόμενων συμβάντων που σχετίζονται με τις ΤΠΕ και πρακτικών όσον αφορά τον αριθμό και την εμφάνιση συμβάντων που σχετίζονται με τις ΤΠΕ.

Για τους σκοπούς του στοιχείου δ), οι χρηματοοικονομικές οντότητες διατηρούν τα αποδεικτικά στοιχεία που αναφέρονται στο εν λόγω στοιχείο με ασφαλή τρόπο.

EULAW Άρθρο 23 Εντοπισμός ασυνήθιστων δραστηριοτήτων και κριτήρια για τον εντοπισμό και την αντιμετώπιση συμβάντων που σχετίζονται με τις ΤΠΕ
EULAW Άρθρο 23 Εντοπισμός ασυνήθιστων δραστηριοτήτων και κριτήρια για τον εντοπισμό και την αντιμετώπιση συμβάντων που σχετίζονται με τις ΤΠΕ
EULAW Άρθρο 34 Ασφάλεια λειτουργιών ΤΠΕ

Άρθρο 34

Ασφάλεια λειτουργιών ΤΠΕ

Οι χρηματοοικονομικές οντότητες που αναφέρονται στο άρθρο 16 παράγραφος 1 του κανονισμού (ΕΕ) 2022/2554, στο πλαίσιο των συστημάτων, των πρωτοκόλλων και των εργαλείων τους, και για όλους τους πόρους ΤΠΕ:

α) 

παρακολουθούν και διαχειρίζονται τον κύκλο ζωής όλων των πόρων ΤΠΕ·

β) 

παρακολουθούν αν οι πόροι ΤΠΕ υποστηρίζονται από τρίτους παρόχους υπηρεσιών ΤΠΕ στις χρηματοοικονομικές οντότητες, κατά περίπτωση·

γ) 

προσδιορίζουν τις απαιτήσεις χωρητικότητας των οικείων πόρων ΤΠΕ και μέτρα για τη διατήρηση και τη βελτίωση της διαθεσιμότητας και της αποτελεσματικότητας των συστημάτων ΤΠΕ και την πρόληψη ελλείψεων χωρητικότητας ΤΠΕ πριν από την υλοποίησή τους·

δ) 

διενεργούν αυτοματοποιημένη σάρωση και αυτοματοποιημένες αξιολογήσεις ευπαθειών των πόρων ΤΠΕ ανάλογα με την ταξινόμησή τους, όπως αναφέρεται στο άρθρο 30 παράγραφος 1, και με το συνολικό προφίλ κινδύνου του πόρου ΤΠΕ, και αναπτύσσουν ενημερώσεις κώδικα για την αντιμετώπιση των εντοπιζόμενων ευπαθειών·

ε) 

διαχειρίζονται τους κινδύνους που σχετίζονται με ανεπίκαιρους, μη υποστηριζόμενους ή παρωχημένους πόρους ΤΠΕ·

στ) 

καταγράφουν τα συμβάντα που σχετίζονται με τον έλεγχο λογικής και φυσικής πρόσβασης, τις λειτουργίες ΤΠΕ, συμπεριλαμβανομένων των δραστηριοτήτων κίνησης συστημάτων και δικτύων, και τη διαχείριση αλλαγών ΤΠΕ·

ζ) 

προσδιορίζουν και εφαρμόζουν μέτρα για την παρακολούθηση και την ανάλυση πληροφοριών σχετικά με ασυνήθιστες δραστηριότητες και συμπεριφορά για κρίσιμες ή σημαντικές λειτουργίες ΤΠΕ·

η) 

εφαρμόζουν μέτρα για την παρακολούθηση συναφών και επικαιροποιημένων πληροφοριών σχετικά με τις κυβερνοαπειλές·

θ) 

εφαρμόζουν μέτρα για τον εντοπισμό πιθανών διαρροών πληροφοριών, κακόβουλων κωδικών και άλλων απειλών για την ασφάλεια, καθώς και δημοσίως γνωστών ευπαθειών του λογισμικού και του υλισμικού, και ελέγχουν αν υπάρχουν αντίστοιχες νέες ενημερώσεις ασφαλείας.

Για τους σκοπούς του στοιχείου στ), οι χρηματοοικονομικές οντότητες ευθυγραμμίζουν τον βαθμό λεπτομέρειας των αρχείων καταγραφής με τον σκοπό τους και τη χρήση του πόρου ΤΠΕ που παράγει τα εν λόγω αρχεία καταγραφής.

EULAW Άρθρο 10 Εντοπισμός

Συνδεδεμένα ζητήματα

Συνδέσεις
Τύπος σύνδεσης Ζήτημα
is related to Semi-Annual
is related to relative Control Weighting = 10
is related to Technology
is related to Detect
is related to SCRM Focus Tier 2 OPERATIONAL
is related to SCRM Focus Tier 3 TACTICAL
blocks Loss of Accountability / Attribution
blocks Excessive or Unauthorized Privilege
blocks Unauthorized Privilege Elevation
blocks Unauthorized Access
blocks Loss, Theft or Damage of Assets
blocks Unauthorized Modification / Loss of System Integrity
blocks Unauthorized Retention / Inability to Dispose of Data
blocks Business / Service Interruption
blocks Data Loss / Integrity Compromise
blocks Reduced Operational Productivity
blocks System / Data Compromise (Technical Vector)
blocks System / Data Compromise (Non-Technical Vector)
blocks Revenue Loss
blocks Contractual Default / Termination
blocks Loss of Competitive Advantage
blocks Reputational Harm / Loss of Stakeholder Trust
blocks Regulatory / Legal / Contractual Financial Liability
blocks Exposure from Unaddressed Vulnerabilities
blocks System / Service Compromise
blocks Failure to Support Business / Mission Objectives
blocks Unaddressed Security / Compliance Exposure
blocks Unperformed / Unowned Control Responsibilities
blocks Uncontrolled Internal Security / Privacy Exposure
blocks Uncontrolled Third-Party Security / Privacy Exposure
blocks Lack of oversight of internal controls
blocks Lack of oversight of third-party controls
blocks Harm from Illegal, Abusive or Unsafe Content / Conduct
blocks Loss of Investigative / Evidentiary Capability
blocks Delayed Containment / Increased Incident Impact
blocks Incident Persistence / Recurrence
blocks Incident Response / Recovery Cost
blocks Undetected / Delayed Detection of Adverse Activity
blocks Third-Party Cybersecurity Compromise / Exposure
blocks Third-Party Physical Security Disruption / Exposure
blocks Sub-Tier / Fourth-Party Supply Chain Exposure
blocks Third-Party Legal / Compliance Exposure
blocks Harm from Unauthorized / Unintended Product or Service Use
blocks Third-Party Dependency Failure
blocks Identity Compromise / Impersonation
blocks Intellectual Property / Trade Secret Loss
blocks Fraud / Theft / Direct Financial Loss
blocks Loss of Confidentiality
blocks Loss of Data Integrity
blocks Drought & Water Shortage
blocks Earthquakes
blocks Fire & Wildfires
blocks Floods
blocks Hurricanes & Tropical Storms
blocks Landslides & Debris Flow
blocks Pandemic (Disease) Outbreaks
blocks Severe Weather
blocks Space Weather
blocks Thunderstorms & Lightning
blocks Tornadoes
blocks Tsunamis
blocks Volcanoes
blocks Winter Storms & Extreme Cold
blocks Malicious Cyber Activity
blocks Utility Service Disruption
blocks Dysfunctional Management Practices
blocks Human Error
blocks Technical / Mechanical Failure
blocks Data Quality Degradation / Data Poisoning
blocks Artificial Intelligence & Autonomous Technologies (AAT) System Failure or Unintended Behavior
blocks Fraud, Corruption and/or Intentional Criminal Conduct
blocks Conflict of Interest (COI) / Undue Influence / Insider Misconduct
blocks Workforce Shortage / Loss of Critical Skills / Labor Disruption
blocks Infrastructure Failure / Degradation
blocks Adversarial Artificial Intelligence (AI) Attack
blocks OIS-08.02AC
blocks OPS-13.02B
blocks OPS-34.01AC
blocks IAM-03.01AC
blocks IAM-06.05B
is blocked by MON-16 Anomalous Behavior – Assessment Procedure
blocks AC-02(12) Account Monitoring for Atypical Usage
blocks IR-04(13) Behavior Analysis
blocks SI-04(11) Analyze Communications Traffic Anomalies
blocks AC-02(12) [H] Account Monitoring for Atypical Usage
blocks 03.01.01 Account Management
blocks 03.03.05 Audit Record Review, Analysis, and Reporting
blocks 03.14.06 System Monitoring
blocks DE.CM Continuous Monitoring
blocks DE.CM-03 Personnel activity and technology usage are monitored to find potentially adverse events
  • Secure Controls Framework -

    The Secure Controls Framework® (SCF)

    "The SCF is the Common Controls Framework™ (CCF), the world's most comprehensive cybersecurity and data privacy metaframework - it is also free to use. The entire concept is building secure, compliant and resilient capabilities in the most efficient and cost-effective manner possible.

    The SCF is more than just a unified control catalog, since its included content creates a playbook for Governance, Risk & Compliance (GRC) capabilities. Used globally by organizations of every size, the SCF is a robust and scalable solution for security, compliance and resilience controls. As a comprehensive security framework, the SCF maps 1,400+ controls across 200+ laws, regulations, and industry frameworks so you can implement once and comply everywhere.

    Like it or not, cybersecurity is a protracted war on an asymmetric battlefield, where the threats are everywhere and as defenders we have to make the effort to work together to help improve cybersecurity and data privacy practices, since we all suffer when massive data breaches occur or when cyber attacks have physical impacts. Hackers share information on attack methods with other hackers, so why shouldn’t the good guys share information on how to best protect an organization? We decided to take action and make a difference, since we feel it is too important to wait for someone else to fix the problems that exist.

    The SCF is made up of volunteers, mainly specialists within the cybersecurity profession, who focus on GRC and the cybersecurity side of data privacy. These are auditors, engineers, architects, incident responders, consultants and other specialists who live and breathe these topics on a daily basis. The end product is "expert-derived content" that makes up the SCF." https://securecontrolsframework.com/ 

    Terms & Conditions

    The SCF End User License Agreement (EULA) governs the use of the Secure Controls Framework® (SCF) under the Creative Commons Attribution-No Derivatives 4.0 International Public License.