Framework: The NIST Cybersecurity Framework (CSF)

RS.MA-02 involves triaging and validating incident reports to confirm their cybersecurity relevance and need for response, applying severity criteria to prioritize action. This preliminary review filters out non-issues, ensuring resources focus on genuine threats like breaches or malware. It streamlines the initial handling of reported events.

This subcategory enhances efficiency by quickly assessing incident legitimacy, aligning efforts with risk priorities. It provides a clear entry point for response, reducing delays in addressing critical incidents. RS.MA-02 ensures that only validated threats proceed to deeper management.

RS.MA-01 initiates the execution of the incident response plan in coordination with third parties—like outsourcers or suppliers—once an incident is confirmed. This includes designating an incident lead and activating additional plans (e.g., business continuity) as needed to support response efforts. It ensures a structured, collaborative approach to managing incidents.

This subcategory aligns response actions with organizational and external capabilities, leveraging automation or external assistance for efficiency. It minimizes disruption by integrating third-party roles into the response framework, enhancing effectiveness. RS.MA-01 sets the stage for a unified incident handling process.

DE.AE-08 involves declaring incidents when adverse events meet predefined criteria, such as severity or scope, ensuring a formal response is triggered. This process accounts for known false positives to avoid unnecessary escalation, applying criteria to event characteristics systematically. It marks the transition from detection to response.

This subcategory ensures consistency in incident identification, aligning declarations with risk management priorities and operational impact. It provides a clear threshold for action, enabling timely mitigation efforts. DE.AE-08 formalizes the shift to incident management with precision.

DE.AE-07 integrates cyber threat intelligence and contextual data—like asset inventories or vulnerability disclosures—into adverse event analysis to enhance accuracy and relevance. This involves securely feeding intelligence to detection technologies and personnel, enabling rapid analysis of supplier or third-party advisories. It enriches understanding of event significance.

This subcategory strengthens detection by providing a broader context, aligning analysis with the organization’s specific risk profile and technology stack. It ensures that external insights inform internal responses, reducing false positives and missed threats. DE.AE-07 connects global intelligence to local action.

DE.AE-06 ensures that information about adverse events is promptly shared with authorized staff—such as SOC teams and incident responders—and integrated into response tools. This includes generating alerts, assigning tickets in ticketing systems, and providing access to analysis findings at all times. It enables swift, coordinated action against detected threats.

This subcategory enhances response efficiency by aligning information delivery with operational needs, ensuring the right people and systems are informed. It supports both automated and manual workflows, reducing delays in addressing events. DE.AE-06 bridges detection and response with timely communication.

DE.AE-04 estimates the impact and scope of adverse events to gauge their potential harm, using tools like SIEMs or manual analysis to assess affected assets and severity. This process refines initial estimates through review, ensuring a clear understanding of consequences like data loss or downtime. It informs prioritization of response efforts.

This subcategory aligns analysis with risk management by quantifying event effects, supporting resource allocation and escalation decisions. It ensures that the organization grasps the full extent of a threat, from isolated incidents to systemic risks. DE.AE-04 provides critical context for effective incident handling.

DE.AE-03 correlates information from diverse sources—like logs, sensors, and threat intelligence—to build a unified picture of potential adverse events. This involves consolidating log data into centralized servers and using event correlation tools (e.g., SIEM) to identify patterns or connections. It enhances detection by linking disparate clues into coherent threats.

This subcategory strengthens analysis by integrating external intelligence with internal data, improving the accuracy of event characterization. It supports a holistic view of the threat landscape, aligning correlation with risk priorities. DE.AE-03 amplifies the power of individual monitoring efforts.

DE.AE-02 focuses on analyzing potentially adverse events to understand their nature, using tools like SIEM systems to examine log events for malicious or suspicious activity. This includes leveraging cyber threat intelligence to characterize threat actors, tactics, and indicators of compromise, supplemented by manual reviews where automation falls short. It turns raw detections into actionable insights.

This subcategory improves detection accuracy by providing detailed context about event origins and methods, supporting informed response decisions. It ensures thorough analysis across all technologies, aligning efforts with risk priorities. DE.AE-02 bridges monitoring and incident characterization for effective threat management.

DE.CM-09 involves monitoring hardware, software, runtime environments, and associated data to detect adverse events like malware, phishing, or tampering. This includes tracking authentication attempts, configuration changes, and endpoint health to identify risks such as unauthorized software or credential attacks. It ensures a deep, system-level view of potential threats.

This subcategory enhances security by using endpoint technologies to redirect compromised devices for remediation, aligning monitoring with risk priorities. It provides comprehensive coverage of common attack vectors like email or file sharing, enabling rapid response. DE.CM-09 underpins a robust detection framework across the technology stack.

DE.CM-06 requires monitoring the activities and services of external providers—like cloud platforms or ISPs—to detect adverse events that could impact the organization. This includes tracking remote administration or onsite maintenance by third parties for deviations from expected behavior. It ensures external dependencies don’t become blind spots.

This subcategory mitigates risks from outsourced services by maintaining oversight, aligning monitoring with contractual security expectations. It supports a comprehensive security posture by extending vigilance beyond organizational boundaries. DE.CM-06 safeguards against threats originating in the supply chain.