+Data Mining Protection

Data Mining Protection

Description

Mechanisms exist to protect data storage objects against unauthorized data mining and data harvesting techniques.

Possible Solutions & Considerations

Micro-Small Business (<10 staff) / BLS Firm Size Classes 1-2

∙ Secure Baseline Configurations (SBC)
∙ Defense-in-depth (DiD) architecture

Small Business (10-49 staff) / BLS Firm Size Classes 3-4

∙ Secure Baseline Configurations (SBC)
∙ Defense-in-depth (DiD) architecture

Medium Business (50-249 staff) / BLS Firm Size Classes 5-6

∙ Secure Baseline Configurations (SBC)
∙ Defense-in-depth (DiD) architecture

Large Business (250-999 staff) / BLS Firm Size Classes 7-8

∙ Secure Baseline Configurations (SBC)
∙ Defense-in-depth (DiD) architecture

Enterprise (> 1,000 staff) / BLS Firm Size Class 9

∙ Secure Baseline Configurations (SBC)
∙ Defense-in-depth (DiD) architecture

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

Data Classification & Handling (DCH) domain capabilities are ad hoc and inconsistent. Capability criteria associated with this control may include:
▪ Policies, standards & procedures associated with DCH domain capabilities provide limited coverage due to the depth and breadth of the existing documentation.
▪ Data management-related activities are decentralized (e.g., a localized/regionalized function) and uses non-standardized methods to implement secure, resilient and compliant practices.
▪ Data protection controls are primarily administrative in nature (e.g., policies & standards) to classify, protect and dispose of systems and data, including storage media.
▪ Media is securely stored until it is destroyed or sanitized using approved equipment, techniques and procedures.

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

Data Classification & Handling (DCH) 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 DCH 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 DCH domain capabilities are well-documented and kept current by process owners.
▪ A Governance, Risk & Compliance (GRC) team, or similar function, is appropriately staffed and supported to implement and maintain DCH domain capabilities.
▪ Technology is leveraged to enhance the efficiency and accuracy of data classification and handling operations (e.g., GRC platform).
▪ 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 DCH 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).
▪ An implemented and operational capability exists to protect data storage objects against unauthorized data mining and data harvesting techniques.

Level 4 Quantitatively Controlled

Data Classification & Handling (DCH) capabilities, in addition to being standardized across the entity and centrally managed to ensure consistency across Technology Assets, Applications, Services and/or Data (TAASD), efforts are metrics driven to provide sufficient insight for decision makers to predict optimal performance, ensure continued operations and/or identify areas for improvement. Capability criteria associated with this control reasonably expect the following criteria to exist:
▪ Applicable SCR-CMM Level 3 (Well Defined) capabilities are implemented and operational.
▪ Metrics reporting includes quantitative analysis of Key Performance Indicators (KPIs).
▪ Metrics reporting includes quantitative analysis of Key Risk Indicators (KRIs).
▪ Scope of metrics, KPIs and KRIs covers organization-wide cybersecurity and data protection controls, including functions performed by third-parties.
▪ Organizational leadership maintains a formal process to objectively review and respond to metrics, KPIs and KRIs (e.g., monthly or quarterly review).
▪ Based on metrics analysis, process improvement recommendations are submitted for review and are handled in accordance with change control processes.
▪ Business and technical stakeholders are involved in reviewing and approving proposed changes to evolve capabilities.

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. Ħarsa ġenerali

Titlu Standard

1.1 Referenzi

1.2 Rekwiżiti identifikati

1.3 Regolamenti relatati

2. Rekwiżiti identifikati

Rekwiżiti
Sors Rekwiżit

3. Regolamenti relatati

Regolamenti
Sors Regolamentazzjoni

Kwistjonijiet marbuta

Links
Tip ta’ link Kwistjoni
is related to Quarterly
is related to relative Control Weighting = 06
is related to Technology
is related to Identify
is related to SCRM Focus Tier 2 OPERATIONAL
is related to SCRM Focus Tier 3 TACTICAL
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 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 Loss of Investigative / Evidentiary Capability
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
is related to Annual
is related to relative Control Weighting = 07
is related to Data
is related to Protect
blocks Data from Local System
blocks Data from Removable Media
blocks Exfiltration Over C2 Channel
blocks Exfiltration Over Alternative Protocol
blocks Exfiltration Over Asymmetric Encrypted Non-C2 Protocol
blocks Exfiltration Over Unencrypted Non-C2 Protocol
blocks Exfiltration Over Physical Medium
blocks Exfiltration over USB
blocks Data from Information Repositories
blocks Confluence
blocks Sharepoint
blocks Customer Relationship Management Software
blocks Messaging Applications
blocks Container API
blocks Exfiltration Over Web Service
blocks Gather Victim Identity Information
blocks Email Addresses
blocks Employee Names
blocks Gather Victim Network Information
blocks Gather Victim Org Information
blocks Determine Physical Locations
blocks Business Relationships
blocks Identify Business Tempo
blocks Identify Roles
blocks Social Media
blocks Search Engines
blocks Search Victim-Owned Websites
blocks Active Scanning
blocks Scanning IP Blocks
blocks Vulnerability Scanning
blocks Search Open Technical Databases
blocks Scan Databases
blocks Search Closed Sources
blocks Intellectual Property / Trade Secret Loss
blocks AI Data Confidentiality / Integrity / Provenance Loss
blocks Loss of Confidentiality
blocks Privacy Harm / Unauthorized Processing
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 Dysfunctional Management Practices
blocks Human Error
blocks Technical / Mechanical Failure
blocks Fraud, Corruption and/or Intentional Criminal Conduct
blocks Adversarial Artificial Intelligence (AI) Attack
is blocked by DCH-24.1 Data Mining Protection – Assessment Procedure
blocks AC-23 Data Mining Protection
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    "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/ 

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