What Is Database Activity Monitoring (DAM) and How Does It Work?
By 2026, databases will have evolved to become the main storage place for the most valuable assets – the data itself. With an increasing amount of data produced by businesses, ensuring database security becomes even harder. The current enterprise operates in a hybrid, multi-cloud, and distributed environment, which makes standard security approaches not enough for protecting sensitive information.
Why DAM become important in 2026?
Databases serve as engines for applications, financial and accounting systems, customer portals, and operations; therefore, businesses need to maintain complete control over access to sensitive data, its usage, and modifications. Effective Database Activity Monitoring allows achieving it. The increased popularity of AI-driven apps, automated agents, APIs, and data pipelines significantly expands the attack surface of databases. Modern threat actors may use automated approaches to speed up the reconnaissance process and exploit vulnerabilities; legitimate integrations become additional entry points into databases. Thus, continuous monitoring of database activities becomes crucial now.
While organizations are migrating to the hybrid, multi-cloud, and managed database services, native auditing features of all of them may become inconsistent, fragmented, or outdated, thus limiting their ability to detect threats on time. Traditional DAM solutions face difficulties due to a lack of access to the infrastructure, inability to deploy agents, and conduct network-level monitoring.
Furthermore, regulatory requirements become stricter. Various frameworks like DPDP Act, RBI cybersecurity guidelines, PCI DSS, HIPAA, GDPR and others oblige organizations to have consistent and complete audit logs and be able to monitor the access to sensitive data and prove their accountability in case of an audit or investigation.
All these factors contribute to the increased demand for database activity monitoring and drive impressive market growth. Mordor Intelligence states that the Database Activity Monitoring market will increase from USD 4.19 billion in 2026 to USD 7.99 billion by 2031.
Overview of Database Activity Monitoring
Most databases do not log all activity by default. Even when auditing is enabled, logs are often stored within the same database environment, making them vulnerable to tampering. For example, a compromised privileged account could disable auditing:
ALTER SYSTEM SET audit_trail = NONE;
Or modify logging settings to stop recording specific activities:
UPDATE audit_settings
SET logging_enabled = FALSE
WHERE event_type = ‘DATA_EXPORT’;
Once monitoring is weakened, an attacker can access, export, or manipulate sensitive data with a lower risk of detection. This makes native database logging an unreliable source of truth for security investigations and compliance audits.
While native database auditing may be disabled, modified, or inconsistently configured, Database Activity Monitoring solutions such as Swaraj Jatayoo are designed to independently record database activity and maintain comprehensive audit records. Features such as immutable, hash-chained logging can help organizations strengthen forensic investigations, support compliance requirements, and improve visibility into database access and activity.
Evolution of Database Activity Monitoring for the Cloud Era
Legacy solutions were designed to support SQL-based and on-premise databases only. However, today’s data is heterogeneously stored in both SQL and NoSQL databases and topic-based repositories. A thick interception layer has a substantial negative impact on the application’s performance. The only way out would be a thin layer that works in real time with minimal latency and supports modern database grammars/protocols.
The next generation of DAM must ensure the normalization of telemetry from heterogeneously stored data – relational, document-oriented, key-value, columnar, analytic databases, and streaming or topic repositories and provide native interaction with the managed databases where network tap or agent-based monitoring is not possible. This is particularly important when working in a cloud-based environment, where the infrastructure is abstracted, and traditional host- or network-based approaches cannot be applied anymore.
In cloud-native systems, it is necessary to have a thin layer that will work in real time, add minimal latency to the data flow and enrich events with context information about identity and sensitivity.
How Swaraj Jatayoo Supports Modern Database Activity Monitoring?
As organizations adopt hybrid, multi-cloud, and cloud-native data environments, they need visibility beyond what native database auditing can provide. Swaraj Jatayoo is designed to help security teams monitor database activity across diverse environments while maintaining operational efficiency.
The platform provides real-time visibility into database queries, privileged user activity, login and session events, schema changes, and access to sensitive data. By independently recording database activity and maintaining immutable, hash-chained audit records, Jatayoo helps strengthen forensic investigations and supports compliance reporting requirements.
Swaraj Jatayoo also incorporates AI-driven behavioural analytics to help identify unusual database activity patterns that may warrant further investigation. Built-in policy controls and session management capabilities enable organizations to respond more effectively to suspicious activity, while centralized monitoring simplifies oversight across distributed database environments.
For enterprises operating under regulatory frameworks such as DPDP, RBI guidelines, PCI DSS, HIPAA, and GDPR, Swaraj Jatayoo helps improve visibility, accountability, and audit readiness. By combining monitoring, analytics, compliance mapping, and forensic audit capabilities in a single platform, Jatayoo supports modern database security requirements across on-premises, hybrid, and cloud environments.
Conclusion
As databases become more distributed across hybrid and multi-cloud environments, organizations need greater visibility into how sensitive data is accessed, modified, and protected. Database Activity Monitoring has evolved from a compliance-focused capability to a critical component of modern cybersecurity strategies, helping security teams detect suspicious activity, support investigations, and strengthen governance. Solutions such as Swaraj Jatayoo are designed to provide real-time database visibility, behavioural analytics, compliance mapping, and forensic audit capabilities across modern database environments, helping organizations improve security oversight and audit readiness.
FAQs on Database Activity Monitoring
- What is Database Activity Monitoring and Why it Is Important?
Database Activity Monitoring (DAM) is a security technology that analyzes real-time database activities and can help you discover cases of unauthorized access and other suspicious activity.
- What is the difference between Database Activity Monitoring and the traditional security approach?
Unlike the traditional security approach, which utilizes audit logs, DAM constantly monitors all database activities – SELECT statements, administrative activities. DAM is independent and uses external storage to save the data, thus it cannot be tampered with even by privileged users.
- What are the main features of Database Activity Monitoring solutions?
It able to monitor all database activity with minimum performance impact, normalize logs of all supported databases, ensure separation of duties, protect logs from being tampered and provide real-time alerts.
- What are the most common attributes of the database that must be monitored?
DAM solutions must be able to analyze CPU and memory utilization, connections, sessions, performance of the queries, resource pools, buffer cache details, deadlocks, and system/user errors.
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