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MON-11.1: Analyze Traffic for Covert Exfiltration

MON 5 — Medium Detect

Automated mechanisms exist to analyze network traffic to detect covert data exfiltration.

Control Question: Does the organization use automated mechanisms to analyze network traffic to detect covert data exfiltration?

General (7)
Framework Mapping Values
GovRAMP High SI-04(18)
NIST 800-53 R4 SI-4(18)
NIST 800-53 R5 (source) SI-4(18)
NIST 800-53 R5 (NOC) (source) SI-4(18)
PCI DSS 4.0.1 (source) 11.5.1.1
PCI DSS 4.0.1 SAQ D Service Provider (source) 11.5.1.1
SPARTA CM0073
US (7)
Framework Mapping Values
US C2M2 2.1 ARCHITECTURE-5.F.MIL2
US FedRAMP R4 SI-4(18)
US FedRAMP R4 (high) SI-4(18)
US FedRAMP R5 (source) SI-4(18)
US FedRAMP R5 (moderate) (source) SI-4(18)
US FedRAMP R5 (high) (source) SI-4(18)
US IRS 1075 SI-4(18)

Capability Maturity Model

Level 0 — Not Performed

There is no evidence of a capability to analyze network traffic to detect covert data exfiltration.

Level 1 — Performed Informally

C|P-CMM1 is N/A, since a structured process is required to analyze network traffic to detect covert data exfiltration.

Level 2 — Planned & Tracked

C|P-CMM2 is N/A, since a well-defined process is required to analyze network traffic to detect covert data exfiltration.

Level 3 — Well Defined

Continuous Monitoring (MON) efforts are standardized across the organization and centrally managed, where technically feasible, to ensure consistency. CMM Level 3 control maturity would reasonably expect all, or at least most, the following criteria to exist: o Governs asset management that ensures compliance with requirements for asset management. o Leverages a Configuration Management Database (CMDB), or similar tool, as the authoritative source of IT assets. o Centrally collects logs and is protected according to the manufacturer’s security guidelines to protect the integrity of the event logs with cryptographic mechanisms. o Monitors the organization for Indicators of Compromise (IoC) and provides 24x7x365 near real-time alerting capability. o Is configured to alert incident response personnel of detected suspicious events such that incident responders can look to terminate suspicious events.

  • An IT Asset Management (ITAM) function, or similar function:
  • A Security Incident Event Manager (SIEM), or similar automated tool:
  • Both inbound and outbound network traffic is monitored for unauthorized activities to identify prohibited activities and assist incident handlers with identifying potentially compromised systems.
Level 4 — Quantitatively Controlled

Continuous Monitoring (MON) efforts are metrics driven and provide sufficient management insight (based on a quantitative understanding of process capabilities) to predict optimal performance, ensure continued operations and identify areas for improvement. In addition to CMM Level 3 criteria, CMM Level 4 control maturity would reasonably expect all, or at least most, the following criteria to exist:

  • 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.
  • Both business and technical stakeholders are involved in reviewing and approving proposed changes.
Level 5 — Continuously Improving

Continuous Monitoring (MON) efforts are “world-class” capabilities that leverage predictive analysis (e.g., machine learning, AI, etc.). In addition to CMM Level 4 criteria, CMM Level 5 control maturity would reasonably expect all, or at least most, the following criteria to exist:

  • Stakeholders make time-sensitive decisions to support operational efficiency, which may include automated remediation actions.
  • Based on predictive analysis, process improvements are implemented according to “continuous improvement” practices that affect process changes.

Assessment Objectives

  1. MON-11.1_A01 anomalous or suspicious behavior is defined.
  2. MON-11.1_A02 organizational systems and system components are monitored on an ongoing basis for anomalous or suspicious behavior.
  3. MON-11.1_A03 outbound communications traffic is analyzed at interfaces external to the system to detect covert exfiltration of information.
  4. MON-11.1_A04 interior points of the network are monitored to detect covert exfiltration of information.

Technology Recommendations

Micro/Small

  • Content filtering

Small

  • Content filtering

Medium

  • Content filtering

Large

  • Content filtering

Enterprise

  • Content filtering

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