The modern cyber threat landscape demands flawless focus from information security teams. In an era where phishing remains the primary vector for initial access and attacks on digital infrastructure are rapidly evolving, security operations centers (SOC) face not a lack of information, but a critical surplus. Analysts are forced to process thousands of incidents daily, leading to operational paralysis known as alert fatigue.
When a real threat is lost among an avalanche of harmless system logs from security information and event management (SIEM) systems, the effectiveness of even the most expensive infrastructure is negated. To prevent monitoring from drowning in noise, the SOC architecture must be transformed by combining the capabilities of SIEM, security orchestration, automation, and response (SOAR) systems, and proven methodologies for incident structuring.
Why traditional monitoring drowns in logs: The anatomy of SOC alert fatigue
The traditional approach to building an SOC is often based on maximizing log collection. A SIEM system accumulates gigabytes of raw events from firewalls, antivirus software, and servers. However, without proper contextualization and fine-tuning of correlation rules, this approach generates a multitude of false positives.
The scale of the problem is confirmed by global data. The ENISA Threat Landscape 2025 report analyzed 4,875 incidents, demonstrating the colossal volumes of data that modern SOCs must classify. Furthermore, an increasing number of organizations are subject to strict regulatory requirements: essential entities, according to the European NIS2 directive, accounted for 53.7% of all organizations affected by cyberattacks in the ENISA reporting period. This forces enterprises to build effective response systems rather than simply collecting logs.
When a first-line analyst continuously encounters identical warnings about "suspicious activity," their attention dulls. A significant portion of working time is spent manually verifying false alarms, which can cause a critical alert regarding account compromise to go unnoticed.
Filtering noise through MITRE ATT&CK: Turning raw events into clear tactics
To overcome chaos, a unified terminology base and coordinate system are required. The MITRE ATT&CK framework serves as this tool, providing a common language for threat hunting and structuring attacker behavior into a matrix of tactics and techniques. Instead of reacting to abstract anomalies, an SOC should translate SIEM detection rules into the language of specific attacker steps.
A practical example: instead of a broad rule like "launch of an atypical process" (which constantly triggers on legitimate software updates), the logic is mapped to a specific technique, such as Command and Scripting Interpreter. The rule captures not just the fact that a script was launched, but signs of security policy bypass combined with requests to external nodes.
Mapping SIEM alerts to the ATT&CK matrix allows you to:
- Assess the actual infrastructure coverage provided by security tools;
- Quickly determine the stage of a cyberattack (initial access, persistence, data exfiltration);
- Filter out background noise, focusing on events that correspond to real attacker behavioral models.
It is important to understand that implementing MITRE ATT&CK will not automatically eliminate all false positives—it is not a universal "silver bullet," but a methodological tool for gradually improving detection quality.
NIST CSF 2.0 and the Govern function: Incident prioritization as a business decision
The updated NIST Cybersecurity Framework (CSF) 2.0 introduces an important structural change by adding the Govern function. This step emphasizes that cyber risk management is an integral part of overall corporate governance.
In the context of an SOC, this means that the priority of an incident should be determined not only by the technical characteristics of a vulnerability but also by the business context of the asset. Relying on the Detect and Respond functions, the monitoring team must distribute events based on risks to the organization. For example, given that phishing is a primary attack vector (according to ENISA data), incidents related to suspicious authentication on critical nodes require immediate human intervention. At the same time, routine low-risk events should be delegated to automation systems.
SOAR in practice: Unburdening the analyst team
SOAR systems are designed not to replace highly qualified analysts, but to complement their work by freeing them from mechanical routines. SOAR serves as an integration bridge between SIEM, endpoint detection and response (EDR) systems, and external threat intelligence services.
Primary candidates for automation (playbooks) include:
- Context enrichment: Queries to threat intelligence databases regarding suspicious IP addresses or domains are performed automatically. The analyst opens an incident card that already contains all necessary reputation information.
- Email threat processing: After a user report, SOAR automatically sends the attachment for isolated analysis and, if a threat is confirmed, initiates the deletion of malicious emails.
- Basic containment: If the system detects a ransomware propagation pattern, a scenario can instantly issue a command to isolate the affected host from the network.
An architectural approach to managed incident response
Effective cybersecurity requires a holistic architectural approach. Members of the Intecracy Group alliance help organizations design comprehensive security systems and integrate monitoring processes in accordance with modern corporate governance standards.
When building internal portals, registries, and document management systems that integrate closely with SOC infrastructure, the platform they are based on is critical. Many enterprise systems are developed on the UnityBase platform (specifically in Enterprise or Defence editions for systems with heightened requirements). Utilizing UnityBase platform mechanisms, such as row-level security (RLS), role-based access control (RBAC), and immutable detailed audit trails of user actions, allows for the minimization of internal risks and the seamless transmission of reliable logs to SIEM systems. This forms a resilient perimeter where any access to corporate data is controlled and transparent for monitoring.
| SOC Operation | Role of Tools (SIEM / SOAR) | Practical Result for the Team |
|---|---|---|
| Collection and correlation of raw logs | Performed by SIEM | Automatic event collection from all sources, basic duplicate filtering, and aggregation. |
| Context enrichment (IP, domains, hashes) | Performed by SOAR | Automatic query to Threat Intelligence, preparation of the incident picture for the analyst. |
| Initial filtering via MITRE ATT&CK | Joint zone (SIEM + SOAR) | Mapping the event to an attack technique, checking for false positives based on templates. |
| Threat blocking (e.g., host isolation) | Performed by SOAR | Automatic execution of a playbook for a confirmed incident. |
| Anomaly investigation and Threat Hunting | Performed by SOC Analyst | Manual analysis of complex behavior, making strategic decisions. |
Combining SIEM and SOAR based on structured methodologies (MITRE ATT&CK and NIST CSF) allows for significant optimization of the threat detection process. This transforms incident handling from a source of constant operational stress into a clearly managed business process that meets current challenges.
FAQ
How to reduce the number of false positive alerts in SIEM without the risk of missing a real attack?
It is necessary to map detection rules to specific MITRE ATT&CK techniques, which allows for filtering out harmless system events. You should also consider the business context of assets, prioritizing incidents according to the Govern function of the NIST CSF 2.0 framework.
Which initial playbooks should be configured in SOAR to unburden the SOC team?
It is best to start by automating incident context enrichment (via queries to Threat Intelligence), verifying suspicious emails flagged by users, and automatically isolating critically compromised hosts.
How to practically link SIEM detection rules with the MITRE ATT&CK matrix?
Correlation rules are assigned tags for relevant techniques. When a rule triggers, the analyst immediately sees the context—which stage of the attack is occurring (e.g., a privilege escalation attempt). This structures the analysis and allows for assessing infrastructure security coverage.