# DAM – Database Activity Monitoring Service

**URL:** https://securesys.com.tr/en/services/dam-database-activity-monitoring

#### What Is Database Activity Monitoring (DAM)?

**Database Activity Monitoring – DAM** is a data security approach that aims to monitor, record and analyse the user, application and administrator activity taking place in an organisation's databases, and to detect suspicious or unauthorised data access.

Databases hold an organisation's most valuable digital assets — customer information, financial records, personal data, trade secrets, user accounts, contracts and critical operational data. It therefore matters not only who a user or application accessing the database is, but also **which data they accessed and what operation they carried out**.

The **DAM – Database Activity Monitoring service** delivered by SecureSys aims to make database activity centrally visible, detect unusual access, monitor privileged users, and connect critical data activity to security operations.

The fundamental question behind DAM is this:

**"Who accessed which database, with which user account, when — and what query or operation did they run?"**

Database Activity Monitoring is therefore not merely a log collection technology. It brings a data security perspective directly to the operations taking place in the database.

### Why Is DAM Necessary?

Organisations can protect their databases with firewalls, network segmentation, access control and various other security systems.

The operations a user or application performs after successfully reaching the database, however, also have to be controlled.

Not all database risk comes from unauthorised external attacks.

An authorised DBA, application account or employee can also access sensitive data, whether by accident or with malicious intent.

For example:

a DBA account querying an entire customer table during the night,

an application account connecting to a database it does not normally use,

a user reading millions of records in a short period,

or a highly privileged account changing the audit configuration

can all be critical behaviours from a security perspective.

DAM aims to make these activities visible.

### SecureSys Database Activity Monitoring Service

The **SecureSys Database Activity Monitoring service** is provided to help organisations monitor data access and user activity in their critical databases centrally.

Depending on the organisation's architecture and the DAM technology in use, capabilities such as the following can be assessed:

**monitoring database access, tracking SQL queries, privileged user monitoring, sensitive data access control, detection of unusual data activity, policy violation alerting, audit log management and [SIEM](/en/services/siem-and-soar-security-service)/SOC integration**

The aim is not simply to generate a large number of audit records.

The real objective is to identify, among millions of database operations, the activity that creates security risk for the organisation.

### What Is Database Activity?

Database activity refers to the operations a user or application performs on the database.

These can include:

**login, logout, SELECT, INSERT, UPDATE, DELETE, CREATE, DROP, ALTER, user creation, role changes and permission grants**

From a security perspective, however, the type of command alone is not enough.

A SELECT may be an entirely normal operation.

But a user who normally views 50 records suddenly querying 2 million customer records can be risky behaviour.

DAM systems therefore also have to assess the context of the operation.

### Who Is Accessing Which Data?

One of the most important benefits of a Database Activity Monitoring service is **data access visibility**.

In a security incident, being able to answer the following questions is critical:

**Which user accessed the sensitive table?**

**On what date did the access take place?**

**Which IP address was the connection made from?**

**Which SQL query was executed?**

**How many records were viewed?**

**Was the data modified?**

DAM can provide the detailed database activity records needed to answer these questions.

### The Difference Between Database Activity Monitoring and Audit

Most databases have their own audit mechanisms.

**Database audit** and **Database Activity Monitoring** are not the same thing, however.

Database audit allows the database to record certain events.

DAM assesses those records and the database activity in a security context, providing central monitoring and alerting capability.

Native audit, for example, might record:

"The DBA user executed this query."

DAM can produce a more contextual security event:

"The DBA user ran a high-volume query against the sensitive customer table outside normal working hours."

### What Is Privileged User Monitoring?

**Privileged user monitoring** is the monitoring of the operations carried out by highly privileged database users.

Accounts such as DBA, SYS, SYSTEM, sa, root or superuser can hold broad permissions in the database.

These accounts can:

read data,

modify data,

create users,

grant permissions,

change audit settings

and, in some cases, interfere with the logs.

Privileged user activity therefore needs particular monitoring.

With DAM, the operations carried out by highly privileged accounts can be recorded centrally.

### Why Does DBA Monitoring Matter?

DBA users hold permissions that are critical to the operation of the databases.

From a security perspective, however, they are among the highest-risk accounts.

The aim here is not to distrust DBAs.

The aim is for **high privilege to be managed alongside high visibility**.

It may be entirely normal, for example, for a DBA to carry out certain maintenance operations.

But the same account:

querying the customer payment card table,

deleting audit records,

or reading high volumes of data outside its normal working pattern

may require security investigation.

### Insider Threat Detection With DAM

Not all data breaches originate with external attackers.

Authorised users can also put the organisation's sensitive data at risk, deliberately or accidentally.

An employee in the sales department exporting the entire customer database before leaving the company, for example, is a serious data security incident.

By monitoring users' database behaviour, DAM can help detect **insider threat** scenarios of this kind.

The following in particular can be treated as risk signals:

bulk data queries,

access to tables outside normal use,

unusual working hours,

unauthorised export operations

and privileged account usage

### Data Leakage Detection and DAM

**Data exfiltration** is the unauthorised removal of sensitive data from the organisation.

Before data leakage occurs, an attacker or malicious user will often query the information in the database in bulk.

Unusual data access volume is therefore a critical signal.

For example:

an application account that normally reads hundreds of records a minute suddenly querying millions,

or a user systematically scanning sensitive tables,

can be behaviour that precedes data exfiltration.

DAM can contribute to the early detection of activity of this kind.

### SQL Query Monitoring

**SQL query monitoring** is the monitoring of the SQL queries executed against the database.

This approach shows security teams not only that "the user connected to the database" but also what they did after connecting.

For example:

high-volume queries such as SELECT * FROM Customers,

UPDATE or DELETE operations on critical tables,

or ALTER / DROP commands that change the database structure

can be monitored specifically.

Alerting policies can be defined for critical SQL queries according to the organisation's risk profile.

### Monitoring Critical SQL Commands

Not all SQL commands carry the same level of risk.

Operations that change the database structure, such as:

**DROP, ALTER, TRUNCATE, GRANT and REVOKE**

can carry higher risk.

In production databases in particular, operations of this kind should be carried out by authorised users and under control.

Critical SQL activity can be monitored in real time or near real time through DAM.

### Detecting Unauthorised Data Access

A user having access to the database does not mean they should have access to all of the data.

An HR user accessing the finance database, or an application service account querying tables belonging to a different application, can be unusual.

By analysing the relationship between users and data, DAM can help detect **unauthorised data access** scenarios.

Database Activity Monitoring therefore provides important value not only for authentication control but also for **authorisation monitoring**.

### Least Privilege and DAM

The **least privilege principle** aims to ensure that users hold only the access permissions they need for their role.

Users' permissions can broaden over time, however.

By monitoring database usage, DAM can help identify unnecessary permissions.

If a user technically has access to 50 tables but uses only 5, for example, whether the other permissions are needed can be assessed.

This approach allows access management to be compared against real usage behaviour.

### DAM and Database Security Assessment

Database Activity Monitoring and **database security assessment** are two different security approaches that complement one another.

A database security assessment asks:

"Which security vulnerabilities and misconfigurations exist in the database?"

DAM answers:

"Who is doing what in the database right now?"

A strong database security model can therefore be built as:

**Database Security Assessment + Hardening + DAM**

### The Relationship Between DAM and Database Hardening

Database hardening ensures the database is configured securely.

Even in a correctly configured system, however, user activity has to be monitored.

A highly privileged DBA account may genuinely be needed, for example.

It may not be possible to remove that account entirely.

In that case, the solution can be to:

**keep the privilege + monitor the activity continuously**

DAM provides the operational security layer that completes hardening work at this point.

### DAM and PAM Integration

**PAM – [Privileged Access Management](/en/services/pam-mfa-solutions)** controls the access of privileged user accounts.

DAM provides visibility into the operations those accounts perform in the database.

PAM, for example, can control when a DBA connected to the database and who opened the session.

DAM can show which SQL queries that DBA ran during the connection.

Used together:

**PAM + DAM**

create a stronger control model for privileged database access.

### The Difference Between PAM and DAM

These two technologies are frequently assessed together.

**PAM: who can access?**

**DAM: what did they do after gaining access?**

PAM controls access.

DAM monitors activity.

Using both technologies together on critical databases can therefore offer a significant security advantage.

### The Difference Between DAM and DLP

DLP focuses on preventing sensitive data from leaving the organisation through email, endpoints, USB or web channels.

DAM monitors access behaviour while the data is still inside the database.

When a user extracts 100,000 records from the customer database, for example, the first signal may be seen in DAM.

When the user then attempts to send that data by email, DLP can step in.

Together:

**DAM + DLP**

control different stages of data security.

### The Difference Between DAM and DDR

**DDR – Data Detection and Response** focuses more broadly on the movement of data between different systems and applications.

DAM focuses specifically on database activity.

For example:

DAM can detect that a user pulled 20,000 records from the customer database.

DDR can show that the data was later transferred to a personal cloud account via an endpoint.

An advanced data security architecture can therefore be built as:

**DAM + DDR + DLP**

### DAM and SIEM Integration

The database security events detected by DAM can be forwarded to the SIEM.

DAM might generate the alert:

**"The DBA account queried the entire customer table during the night."**

At the same time, the SIEM may show that the user logged in over VPN from a different country and that suspicious activity was seen on the endpoint.

Assessed together, these events make the real risk far clearer.

### DAM and SOAR Integration

Database Activity Monitoring events can trigger automated or semi-automated response processes through SOAR.

When a critical data access alert is generated, a playbook such as the following can be run:

**open an incident → check the user's details → query IP reputation → check SIEM history → notify the SOC analyst**

Depending on the organisation's risk policy, certain access can be temporarily blocked or user verification initiated.

### DAM and the SOC

Database Activity Monitoring data provides SOC teams with critical data security visibility.

A traditional SOC monitors firewall, endpoint and network events.

With DAM integration, the SOC analyst can also answer:

**"Who is accessing the critical data?"**

In data breach incidents in particular, this information makes it easier to understand the real impact of the incident.

### DAM and XDR Integration

[XDR](/en/services/xdr-security-service) correlates endpoint, identity and network events, while DAM can provide database activity.

For example:

XDR → detected that a user account had been compromised.

DAM → showed that the same account queried the customer table in bulk.

The incident then ceases to be merely an account compromise and becomes a possible **data breach**.

### Active Directory and DAM

Some database users can be linked to Active Directory or the corporate identity infrastructure.

Correlating DAM activity with identity information offers a significant advantage in that case.

Determining which real person sits behind a technical database account, for example, can be critical to an investigation.

Establishing **identity attribution** wherever possible is therefore important.

### The Shared Database Account Problem

One of the problems frequently encountered in organisations is several DBAs using the same account.

Everyone may connect using a DBAdmin account, for example.

In that case, only DBAdmin appears in the audit record.

Which person actually carried out the operation may be unknown.

DAM and PAM integration can reduce this problem.

A relationship can be established between the user's personal identity and the shared privileged database account.

### Database Activity Monitoring and Zero Trust

In a Zero Trust approach, having been granted access does not mean all of a user's operations are treated as trustworthy.

DAM contributes to a **continuous verification** approach at the database level.

Even when a user's identity has been verified:

unusual table access,

high-volume queries,

or the execution of critical commands

can be treated as risky behaviour.

DAM is therefore one of the important security components supporting a Zero Trust approach at the data layer.

### DAM and Data Classification

It is difficult to build an effective Database Activity Monitoring policy without knowing which data is critical.

DAM should therefore be considered together with **[data classification](/en/services/data-discovery-classification-solutions)**.

For example:

customer personal data,

payment card information,

financial records,

health information

and trade secrets

can be marked as "critical data".

DAM can then assess activity against those tables or columns at a higher risk level.

### Sensitive Data Access Monitoring

**Sensitive data access monitoring** is the monitoring of who uses the tables and fields containing sensitive data.

It may be expected that only specific applications access a table containing customer ID numbers or card data, for example.

A direct query carried out by a DBA or a different user can generate an alert.

This approach is particularly important in regulated organisations.

### DAM and KVKK

Access control and the detection of unauthorised access are important technical security topics in the protection of personal data.

DAM can help monitor user activity in databases holding personal data.

For example, the following can be recorded:

which users accessed the personal data table,

high-volume data queries,

unauthorised user access

and changes to critical data

Using DAM alone, however, does not mean [KVKK](/en/services/kvkk-gdpr-consulting-service) compliance has been achieved.

DAM should be treated as one of the organisation's data security controls.

### DAM and PCI DSS

Monitoring access activity is particularly important in systems holding payment card data.

It may be necessary to record who accessed critical card data and which operations were carried out.

DAM can help monitor privileged access and suspicious activity in databases containing cardholder data.

An organisation's PCI DSS scope should be assessed separately according to its own architecture and obligations.

### DAM and ISO/IEC 27001

Access control, logging, monitoring and privileged access are important security areas in information security management systems.

Database Activity Monitoring can improve the technical visibility of these controls at the database layer.

Monitoring the use of critical information assets and administrator activity in particular can feed risk management processes.

### Oracle Database Activity Monitoring

Oracle environments can form the data layer of critical applications in large organisations.

**Oracle Database Activity Monitoring** can cover:

SYS and SYSTEM user activity,

critical SQL queries,

user and role changes,

sensitive table access

and other database activity.

Tracking highly privileged user activity centrally is particularly important in production Oracle environments.

### Microsoft SQL Server Activity Monitoring

In Microsoft SQL Server environments, the activity of:

the sa account,

the sysadmin role,

database administrator accounts

and application users

can be monitored.

Critical SELECT, UPDATE, DELETE and DROP operations and permission changes can be turned into alerts according to risk policy.

### PostgreSQL Activity Monitoring

In PostgreSQL environments, user and role activity, superuser operations and sensitive data access can be monitored.

Making superuser activity visible is particularly important in critical production systems.

Deviations from the normal behaviour of application service accounts can also be brought into monitoring scope.

### MySQL and MariaDB Activity Monitoring

In MySQL and MariaDB environments:

root user activity,

highly privileged account operations,

critical table access

and SQL activity

can be monitored.

In the databases behind internet-facing applications in particular, unusual query volumes can be a signal of a possible attack.

### Cloud Database Activity Monitoring

Corporate databases no longer run only in data centres.

Managed database services on AWS, Azure, Google Cloud and other cloud platforms are heavily used.

A DAM approach therefore has to be able to assess:

**on-premise + cloud database**

environments together.

Cloud database audit and activity data can be brought into central security visibility.

### AWS Database Activity Monitoring

Audit records from RDS and similar database services used on AWS can be integrated into security operations.

The following, for example, can be assessed from a risk perspective:

unusual user connections,

queries against critical data

and high-volume activity

### Azure SQL Database Monitoring

The activity of Azure SQL and Microsoft cloud database services can be monitored centrally.

Assessing this together with Entra ID and cloud identity data can strengthen the user context.

A risky user login and a sensitive database query by the same user can be correlated under a single incident, for example.

### Application Account Monitoring

A significant proportion of the queries reaching a database are carried out not by people but by application accounts.

Monitoring DBA users alone is therefore not sufficient.

A baseline also has to be established for application account behaviour.

If a given application account normally queries only three tables, access to a different table can create risk.

Similarly, a sudden increase in query volume can indicate that the application has been compromised.

### SQL Injection and DAM

If a web application contains a SQL injection flaw, an attacker can send queries to the database through the application account.

Database Activity Monitoring can provide an additional detection layer at this point.

If an application normally uses particular query patterns and the following suddenly appear, it can be an indicator of attack:

schema enumeration,

access to system tables

or high-volume data queries

DAM is not an alternative to web security, but it can make the effect of the attack on the database visible.

### Brute Force Database Detection

A large number of failed login attempts made directly against the database can be an indicator of a brute force attack.

By tracking failed authentication events, DAM or the associated security platforms can help detect this attack behaviour.

A successful authentication following a series of failed attempts should be treated as a higher-risk event.

### Unusual Working Hours

Assessing user behaviour in its time context is important.

A DBA account that normally works between 09:00 and 18:00 running a high-volume query against a critical table at 03:00 may require investigation.

Shift patterns and maintenance work have to be taken into account, however.

It is therefore important that DAM policies are tuned to the organisation's real business processes.

### Database Activity Baselining

**Baselining** is the process of establishing the normal database behaviour of users and applications.

For example:

which account accesses which database,

at what times it is used,

which queries it runs,

how many records it reads on average

can together form a normal behaviour model.

Significant deviations from this baseline can be turned into security alerts.

### Anomaly Detection and DAM

Static rules cannot detect every attack.

If an attacker uses a valid user account, for example, the operation may be technically permitted.

It nonetheless differs from the user's normal behaviour.

**Database anomaly detection** can help identify these deviations.

For example:

a user who normally reads 200 records reading 2 million,

or connecting to a table they have never accessed,

can be treated as anomalous behaviour.

### DAM Alerting Policies

Not every database event should become a SOC alert.

Otherwise thousands of unnecessary alerts can be generated.

Alerting policies should therefore be designed on a risk basis.

The combination of:

**critical table + privileged user + unusual hour**

can be a high-risk alert.

A normal SELECT operation on its own may not require an alert at all.

In the SecureSys DAM approach, improving alert quality and reducing the false positive rate matter.

### Database Activity Monitoring and False Positive Management

One of the significant problems in DAM projects is excessive alert generation.

During the initial deployment period in particular, normal business processes have to be separated from risky behaviour.

Policies can therefore be optimised using information such as:

whitelists,

user baselines,

application behaviour,

critical table lists

and maintenance windows

The aim is not to generate as many database alerts as possible, but **to detect genuine data security risk**.

### Real-Time Database Monitoring

Reporting suspicious activity on critical databases days later may not be sufficient.

Rapid response is needed during active data exfiltration, for example.

With the appropriate architecture, DAM platforms can therefore generate alerts in real time or near real time.

Critical events can be passed to SOC teams.

### 24/7 Database Activity Monitoring

Depending on the organisation's needs, the critical events coming from the DAM platform can be monitored as part of a **24/7 SOC operation**.

In this model:

DAM generates the alert,

the SOC analyst validates the event,

SIEM/XDR context is examined,

and incident response is initiated where necessary.

DAM then ceases to be a passive audit technology and becomes part of an active security operation.

### DAM and Incident Response

When a data breach is detected, DAM records can contribute significantly to the investigation.

The following questions, for example, can be answered:

**Which database did the attacker access?**

**Which user account did they use?**

**Which tables did they query?**

**How many records were viewed?**

**Did they modify the data?**

This information helps establish the real impact of the attack in incident response and digital forensics processes.

### DAM and Compromise Assessment

A compromise assessment investigates whether an attacker has previously been active in the environment.

Where DAM history exists, critical database activity can be examined retrospectively.

It can be established, for example, which data a compromised user account queried in previous weeks.

This makes it easier to determine the real scope of the incident.

### Why Does DAM Matter After a Data Breach?

In a data breach, an organisation's management generally asks:

**"Which data was accessed?"**

A firewall, EDR or SIEM can show which system the attacker entered.

Determining which database table and which records were queried, however, is not always possible.

DAM can provide important forensic visibility at this point.

### The Database Activity Monitoring Implementation Process

#### \1. Database Inventory

The critical database systems are identified.

#### \2. Identification of Sensitive Data and Critical Tables

Which data carries the highest security priority is established.

#### \3. User and Role Analysis

DBAs, privileged accounts, application users and standard users are identified.

#### \4. DAM Integration

The database systems are brought into the appropriate monitoring architecture.

#### \5. Baselining

Normal user and application behaviour is analysed.

#### \6. Policy Design

Security policies are built around critical data and user scenarios.

#### \7. Alert Management

Risk levels and escalation processes are defined.

#### \8. SIEM/SOC Integration

Critical alerts are brought into the SOC operation.

#### \9. Tuning

False positive rates are optimised regularly.

#### \10. Reporting

Database risks and activity are reported at both technical and management level.

### What Should a DAM Report Contain?

A professional Database Activity Monitoring report should contain more than the total number of queries.

For management, the following can be presented:

**critical database events, privileged user activity, sensitive data access, unusual behaviour and trends**

For technical teams, details such as the following can be included:

user,

IP,

database,

table,

SQL query,

timestamp,

risk level

and the reason for the alert

### Which Organisations Is DAM Important For?

Database Activity Monitoring is particularly important in organisations that process large volumes of critical and sensitive data.

Organisations that can benefit from a DAM service include:

**banks, financial institutions, public bodies, healthcare organisations, telecoms companies, energy organisations, e-commerce companies, defence industry firms, holding companies and large technology organisations**

Database activity visibility can also be particularly important in organisations subject to KVKK, PCI DSS or other sector-specific regulation.

### What Is Managed DAM?

**Managed DAM** refers to the Database Activity Monitoring platform being managed by an expert security team, with critical database events assessed continuously.

Managed DAM can cover:

**platform management, policy tuning, privileged user monitoring, security alert investigation, SIEM/SOC integration and periodic reporting**

For organisations without a separate in-house database security operation, this approach can offer an operational advantage.

### Continuous Database Security With DAM

Database security should not be limited to a security test carried out once a year.

A security assessment shows the database's security state on a particular date.

DAM makes the activity occurring during daily use continuously visible.

The ideal model can therefore be built as:

**Database Security Assessment → Hardening → DAM → SOC Monitoring → Continuous Improvement**

### Why the SecureSys Database Activity Monitoring Service?

The database is one of an organisation's most critical data layers.

Many organisations, however, monitor network and endpoint activity in detail while failing to make what happens in the database sufficiently visible.

The **SecureSys Database Activity Monitoring service** aims to make user, application and privileged account activity in critical databases visible, and to detect data security risks earlier.

Depending on the organisation's needs, the service can be integrated with:

**database security assessment, DAM, PAM, DLP, DDR, SIEM, SOAR, XDR and 24/7 SOC**

Database security is then strengthened not merely by granting access, but by **continuously monitoring the activity carried out after access**.

**The SecureSys DAM – Database Activity Monitoring service is a managed data security service for monitoring user, application and privileged account activity in Oracle, Microsoft SQL Server, PostgreSQL, MySQL and other enterprise databases, detecting sensitive data access, and providing security visibility over suspicious database behaviour.**

### Frequently Asked Questions

#### What is DAM?

DAM is the abbreviation for **Database Activity Monitoring**. It provides for the monitoring of user, application and administrator activity in databases and the detection of risky behaviour.

#### What does Database Activity Monitoring do?

It makes visible who accesses the database, which SQL queries they run, which critical data is accessed and whether any suspicious activity is present.

#### Are DAM and database audit the same?

No. Audit records events, whereas DAM focuses on analysing that activity centrally and evaluating it against security policies.

#### What is the difference between DAM and PAM?

PAM controls the access of privileged users. DAM monitors the activity those users carry out after reaching the database.

#### What is the difference between DAM and DLP?

DAM monitors data access within the database. DLP is more concerned with controlling data leaving the organisation through endpoints, email, web or other channels.

#### What is the difference between DAM and DDR?

DAM monitors database-specific activity. DDR focuses more broadly on the use and movement of data between different systems and applications.

#### Can Oracle DAM be implemented?

Yes. With the appropriate technology and architecture, Oracle database activity and privileged user operations can be monitored.

#### Can MSSQL DAM be implemented?

Yes. User, application and sysadmin activity on Microsoft SQL Server can be brought into monitoring scope.

#### Can PostgreSQL and MySQL be monitored?

Depending on the support offered by the DAM technology in use, PostgreSQL, MySQL and other database platforms can be included in monitoring scope.

#### Does DAM integrate with SIEM?

Yes. The critical security events generated by DAM can be forwarded to the SIEM and correlated with other security logs.

#### Can DAM be monitored 24/7?

Yes. Critical Database Activity Monitoring alerts can be assessed around the clock as part of a SOC operation.

#### Does DAM detect data leakage?

DAM can provide an early signal of possible data exfiltration by detecting unusual or high-volume database access in particular. To understand the actual exit of data, correlation with DDR, DLP and network telemetry is also useful.

### See Not Only Who Holds Your Critical Data, but How It Is Being Used

Having been granted access to the database does not mean that every operation a user performs is safe.

An attacker may be using a compromised but legitimate user account.

A privileged user may be able to access more data than they need.

An application account may be compromised and used to query millions of records.

One of the most important questions in database security is therefore:

**"Who did what to which data?"**

With the **SecureSys DAM – Database Activity Monitoring service** you can make user and application activity in your critical databases visible, monitor privileged users, detect unusual data access, and bring database security events into your SIEM/SOC operation.

**To build your DAM architecture for Oracle, MSSQL, PostgreSQL, MySQL or your other critical databases and to learn more about the Database Activity Monitoring service, [get in touch with SecureSys](/en/contact).**