MON-11.1: Analyze Traffic for Covert Exfiltration
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
- MON-11.1_A01 anomalous or suspicious behavior is defined.
- MON-11.1_A02 organizational systems and system components are monitored on an ongoing basis for anomalous or suspicious behavior.
- MON-11.1_A03 outbound communications traffic is analyzed at interfaces external to the system to detect covert exfiltration of information.
- 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