CONCEPT OF AUTOMATED RESPONSE TO THREATS IN CORPORATE DATABASES IN REAL-TIME MODE

The article presents a concept of automated real-time threat response in corporate databases, developed with consideration of current trends in cyber threat evolution and the limitations of existing protection mechanisms. The relevance of the research is determined by the growing number of database attacks, among which the most common remain SQL injections, unauthorized privilege escalation, insider activities, and lateral movement within corporate networks. Traditional approaches to database security, primarily focused on access control and signature-based detection, do not provide sufficient response speed and fail to address the complexity of multi-vector attacks. The study defines the conceptual principles of system design, including continuous monitoring, multi-level analysis, adaptability, and integration with existing security platforms. The proposed architecture combines data collection mechanisms, artificial intelligence–based analytics modules for anomaly detection, a SOAR subsystem for dynamic response, and integration with SOC and SIEM solutions. This combination ensures the implementation of a closed security loop: monitoring → analysis → response → management and cont