+Implement Controls
|
Implement Controls
Description
Mechanisms exist to compel data and/or process owners to implement required security, compliance and resilience controls for each Technology Asset, Application and/or Service (TAAS) under their control.
Possible Solutions & Considerations
Micro-Small Business (<10 staff) / BLS Firm Size Classes 1-2
∙ SCF Security, Compliance & Resilience Management System (SCRMS)
Small Business (10-49 staff) / BLS Firm Size Classes 3-4
∙ SCF Security, Compliance & Resilience Management System (SCRMS)
Medium Business (50-249 staff) / BLS Firm Size Classes 5-6
∙ SCF Security, Compliance & Resilience Management System (SCRMS)
Large Business (250-999 staff) / BLS Firm Size Classes 7-8
∙ SCF Security, Compliance & Resilience Management System (SCRMS)
Enterprise (> 1,000 staff) / BLS Firm Size Class 9
∙ SCF Security, Compliance & Resilience Management System (SCRMS)
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
SCR-CMM Level 2 criteria definitions are not available for this control:
▪ A reasonable person would conclude a well-defined and standardized process is required.
▪ At this level of maturity, the “requirements-driven” nature of performing the control is focused on a localized and/or regionalized implementation, not uniform and consistent across the organization.
▪ Requirements are narrowly scoped for applicability and are primarily derived from compliance obligations (e.g., laws, regulations and contracts).
Level 3 Well Defined
Cybersecurity & Data Protection Governance (GOV) 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 GOV domain capabilities are formally documented and centrally-managed by the entity's Governance, Risk & Compliance (GRC) team, or similar function.
▪ Standardized Operating Procedures (SOP) associated with GOV domain capabilities are well-documented and kept current by process owners.
▪ The entity's GRC team, or similar function, is appropriately staffed and supported to implement and maintain GOV 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).
▪ Technology is leveraged to enhance the efficiency and accuracy of governance, risk management and compliance operations (e.g., GRC platform).
▪ An implemented and operational capability exists to compel data and/or process owners to implement required security, compliance and resilience controls for each Technology Asset, Application and/or Service (TAAS) under their control.
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. Overview
1.1 References
1.2 Identified Requirements
1.3 Related Regulations
2. Identified Requirements
Requirements
| Source |
Requirement |
3. Related Regulations
Regulations
| Source |
Regulation |
|
DORA
|
DORA Ch. II Sec. II Art. 7 ICT systems, protocols and tools
ICT systems, protocols and tools
In order to address and manage ICT risk, financial entities shall use and maintain updated ICT systems, protocols and tools that are:
- (a) appropriate to the magnitude of operations supporting the conduct of their activities, in accordance with the proportionality principle as referred to in Article 4;
- (b) reliable;
- (c) equipped with sufficient capacity to accurately process the data necessary for the performance of activities and the timely provision of services, and to deal with peak orders, message or transaction volumes, as needed, including where new technology is introduced;
- (d) technologically resilient in order to adequately deal with additional information processing needs as required under stressed market conditions or other adverse situations.
|
|
EULAW
|
Article 17 Quality management system
Article 17
Quality management system
1. Providers of high-risk AI systems shall put a quality management system in place that ensures compliance with this Regulation. That system shall be documented in a systematic and orderly manner in the form of written policies, procedures and instructions, and shall include at least the following aspects:
|
(a)
|
a strategy for regulatory compliance, including compliance with conformity assessment procedures and procedures for the management of modifications to the high-risk AI system;
|
|
(b)
|
techniques, procedures and systematic actions to be used for the design, design control and design verification of the high-risk AI system;
|
|
(c)
|
techniques, procedures and systematic actions to be used for the development, quality control and quality assurance of the high-risk AI system;
|
|
(d)
|
examination, test and validation procedures to be carried out before, during and after the development of the high-risk AI system, and the frequency with which they have to be carried out;
|
|
(e)
|
technical specifications, including standards, to be applied and, where the relevant harmonised standards are not applied in full or do not cover all of the relevant requirements set out in Section 2, the means to be used to ensure that the high-risk AI system complies with those requirements;
|
|
(f)
|
systems and procedures for data management, including data acquisition, data collection, data analysis, data labelling, data storage, data filtration, data mining, data aggregation, data retention and any other operation regarding the data that is performed before and for the purpose of the placing on the market or the putting into service of high-risk AI systems;
|
|
(g)
|
the risk management system referred to in Article 9;
|
|
(h)
|
the setting-up, implementation and maintenance of a post-market monitoring system, in accordance with Article 72;
|
|
(i)
|
procedures related to the reporting of a serious incident in accordance with Article 73;
|
|
(j)
|
the handling of communication with national competent authorities, other relevant authorities, including those providing or supporting the access to data, notified bodies, other operators, customers or other interested parties;
|
|
(k)
|
systems and procedures for record-keeping of all relevant documentation and information;
|
|
(l)
|
resource management, including security-of-supply related measures;
|
|
(m)
|
an accountability framework setting out the responsibilities of the management and other staff with regard to all the aspects listed in this paragraph.
|
2. The implementation of the aspects referred to in paragraph 1 shall be proportionate to the size of the provider’s organisation. Providers shall, in any event, respect the degree of rigour and the level of protection required to ensure the compliance of their high-risk AI systems with this Regulation.
3. Providers of high-risk AI systems that are subject to obligations regarding quality management systems or an equivalent function under relevant sectoral Union law may include the aspects listed in paragraph 1 as part of the quality management systems pursuant to that law.
4. For providers that are financial institutions subject to requirements regarding their internal governance, arrangements or processes under Union financial services law, the obligation to put in place a quality management system, with the exception of paragraph 1, points (g), (h) and (i) of this Article, shall be deemed to be fulfilled by complying with the rules on internal governance arrangements or processes pursuant to the relevant Union financial services law. To that end, any harmonised standards referred to in Article 40 shall be taken into account.
|
|
EULAW
|
Article 21 Cybersecurity risk-management measures
Article 21
Cybersecurity risk-management measures
1.
Member States shall ensure that essential and important entities take appropriate and proportionate technical, operational and organisational measures to manage the risks posed to the security of network and information systems which those entities use for their operations or for the provision of their services, and to prevent or minimise the impact of incidents on recipients of their services and on other services.
Taking into account the state-of-the-art and, where applicable, relevant European and international standards, as well as the cost of implementation, the measures referred to in the first subparagraph shall ensure a level of security of network and information systems appropriate to the risks posed. When assessing the proportionality of those measures, due account shall be taken of the degree of the entity’s exposure to risks, the entity’s size and the likelihood of occurrence of incidents and their severity, including their societal and economic impact.
2.
The measures referred to in paragraph 1 shall be based on an all-hazards approach that aims to protect network and information systems and the physical environment of those systems from incidents, and shall include at least the following:
(a)
policies on risk analysis and information system security;
(c)
business continuity, such as backup management and disaster recovery, and crisis management;
(d)
supply chain security, including security-related aspects concerning the relationships between each entity and its direct suppliers or service providers;
(e)
security in network and information systems acquisition, development and maintenance, including vulnerability handling and disclosure;
(f)
policies and procedures to assess the effectiveness of cybersecurity risk-management measures;
(g)
basic cyber hygiene practices and cybersecurity training;
(h)
policies and procedures regarding the use of cryptography and, where appropriate, encryption;
(i)
human resources security, access control policies and asset management;
(j)
the use of multi-factor authentication or continuous authentication solutions, secured voice, video and text communications and secured emergency communication systems within the entity, where appropriate.
3.
Member States shall ensure that, when considering which measures referred to in paragraph 2, point (d), of this Article are appropriate, entities take into account the vulnerabilities specific to each direct supplier and service provider and the overall quality of products and cybersecurity practices of their suppliers and service providers, including their secure development procedures. Member States shall also ensure that, when considering which measures referred to in that point are appropriate, entities are required to take into account the results of the coordinated security risk assessments of critical supply chains carried out in accordance with Article 22(1).
4.
Member States shall ensure that an entity that finds that it does not comply with the measures provided for in paragraph 2 takes, without undue delay, all necessary, appropriate and proportionate corrective measures.
5.
By 17 October 2024, the Commission shall adopt implementing acts laying down the technical and the methodological requirements of the measures referred to in paragraph 2 with regard to DNS service providers, TLD name registries, cloud computing service providers, data centre service providers, content delivery network providers, managed service providers, managed security service providers, providers of online market places, of online search engines and of social networking services platforms, and trust service providers.
The Commission may adopt implementing acts laying down the technical and the methodological requirements, as well as sectoral requirements, as necessary, of the measures referred to in paragraph 2 with regard to essential and important entities other than those referred to in the first subparagraph of this paragraph.
When preparing the implementing acts referred to in the first and second subparagraphs of this paragraph, the Commission shall, to the extent possible, follow European and international standards, as well as relevant technical specifications. The Commission shall exchange advice and cooperate with the Cooperation Group and ENISA on the draft implementing acts in accordance with Article 14(4), point (e).
Those implementing acts shall be adopted in accordance with the examination procedure referred to in Article 39(2).
|
Linked Issues
- Secure Controls Framework -
"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.
|