Security monitoring of it infrastructure
Log collection and analysis solutions (such as various types of log managers or SIEM solutions) support organisations in protecting themselves against cyber attacks and threats by centralising, analysing and monitoring log data generated by various IT systems. In this way, they enable the detection of abnormal activity, the analysis of security incidents and support regulatory compliance.
Key features and functions of the solution:
Centralisation of logs and their secure storage
Solutions of this type collect logs from various sources in one central location, allowing comprehensive monitoring of the IT environment.
How does it work?
How does it work?
Log sources: the solution collects logs from servers, workstations, network devices (e.g. firewalls, routers), applications and databases.
Example: information about user logins to systems, attempts to access files or device configurations is stored in one place.
Example: information about user logins to systems, attempts to access files or device configurations is stored in one place.
Log security: data is stored in a tamper-proof manner (e.g. by means of hashing and encryption mechanisms).
Example: attempts to remove traces of unauthorised access to the system are recorded and can be analysed later.
Example: attempts to remove traces of unauthorised access to the system are recorded and can be analysed later.
2. detection of anomalies and unusual behaviour
Log collection and analysis solutions support the analysis of logs to identify unusual patterns of behaviour that may be indicative of an attack.
Event monitoring: The system detects suspicious events such as multiple login attempts with the wrong password (brute force) or attempts to access systems outside of working hours.
Example: the system identifies unusual administrator logins at night from a foreign IP address.
Example: the system identifies unusual administrator logins at night from a foreign IP address.
Statistical analysis and correlation: the system compares current events with historical data to detect deviations from the norm.
Example: A sudden increase in network traffic during night-time hours is detected as a potential DDoS attack.
Example: A sudden increase in network traffic during night-time hours is detected as a potential DDoS attack.
3. support incident response
The log collection and analysis solution helps security teams respond quickly to incidents by providing detailed activity data on IT systems.
How does it work?
How does it work?
Attack path recording: The logs provide detailed information about the attacker's activities, such as the source and target of the attack, changes to the configuration of the systems.
Example: log analysis shows that the attacker exploited a vulnerability in the application server to gain access to the database.
Example: log analysis shows that the attacker exploited a vulnerability in the application server to gain access to the database.
Real-time notifications: the system generates alerts based on identified threats.
Example: the administrator receives a notification when an attempt to transfer a large amount of data to an external server is detected.
Example: the administrator receives a notification when an attempt to transfer a large amount of data to an external server is detected.
4. automation and integration with other security systems
Log managers or SIEM-class systems can integrate with other security solutions (e.g. EDR or NGFW) to automatically take protective action.
How does it work?
How does it work?
Automatic rules: The solution can pass data on suspicious events to other systems to take action, such as blocking IP addresses or closing user sessions.
Example: detection of a login attempt from a malicious IP address results in its automatic blocking in the NGFW firewall
Example: detection of a login attempt from a malicious IP address results in its automatic blocking in the NGFW firewall
Integration with SOC and SOAR: The system supports operational teams in automating incident response.
Example: if an anomaly is detected, the logs are sent to the SOAR system, which triggers the appropriate response playbook.
Example: if an anomaly is detected, the logs are sent to the SOAR system, which triggers the appropriate response playbook.
5. support for post-incident analysis
Log collection, management and analysis solutions provide a complete history of events, allowing the attacker's actions to be accurately traced and the effectiveness of security measures to be assessed.
How does it work?
How does it work?
Traces of events: The logs allow the full attack path to be reconstructed, making it possible to identify the vulnerabilities exploited by cybercriminals.
Example: analysis shows that the attacker gained access to the system using stolen credentials.
Example: analysis shows that the attacker gained access to the system using stolen credentials.
Vulnerability identification: log data helps to understand which systems were targeted and which vulnerabilities were exploited.
Example: misconfigurations were detected in the application server logs, which enabled an SQL Injection attack.
Example: misconfigurations were detected in the application server logs, which enabled an SQL Injection attack.
6 Meeting regulatory requirements
Such solutions help organisations meet legal and regulatory requirements for data security and incident reporting.
How does it work?
How does it work?
Ensuring auditability: the system stores logs in accordance with regulatory requirements (e.g. RODO, NIS2), allowing them to be analysed during audits.
Example: The logs record access to personal data so that it can be verified that it was in accordance with the organisation's policies.
Example: The logs record access to personal data so that it can be verified that it was in accordance with the organisation's policies.
Incident reporting: the system provides detailed incident data that can be reported to regulators.
Example: The log report indicates when the data leak occurred and which systems were involved.
Example: The log report indicates when the data leak occurred and which systems were involved.
7. Protection against internal threats
The solution allows the monitoring of internal user activities, which helps to detect and prevent unauthorised activities.
How does it work?
How does it work?
Monitoring user activity: The system records logins, changes to files and configurations, and access to key resources.
Example: it was detected in the logs that the user was trying to access data to which he/she does not have rights.
Example: it was detected in the logs that the user was trying to access data to which he/she does not have rights.
Identification of abuse: The logs make it possible to identify user activities that may indicate abuse.
Example: An employee copying a large amount of data from the server to an external drive is identified through logs.
Example: An employee copying a large amount of data from the server to an external drive is identified through logs.
8 Protection against advanced threats
SIEM or log management systems support protection against advanced threats, such as APT (Advanced Persistent Threats) attacks.
How does it work?
How does it work?
Early detection of attacks: The system analyses the logs for characteristic signs of attacker activity, such as attempts to scan the network or prolonged attempts to access privileged accounts.
Example: Analysis of the logs shows that the attacker attempted to gain access to the system over several days, using a variety of techniques.
Example: Analysis of the logs shows that the attacker attempted to gain access to the system over several days, using a variety of techniques.
Warning of unusual patterns: solution identifies long-term, subtle activities indicative of attack preparation.
Example: slow data transfer to an external server is detected as part of a data leak.
Example: slow data transfer to an external server is detected as part of a data leak.
Explore the solution we offer for monitoring the security of it infrastructure
Click on the button to see the solution.
Explore the offer