dEEpEst
☣☣ In The Depths ☣☣
Staff member
Administrator
Super Moderator
Hacker
Specter
Crawler
Shadow
- Joined
- Mar 29, 2018
- Messages
- 13,861
- Solutions
- 4
- Reputation
- 32
- Reaction score
- 45,552
- Points
- 1,813
- Credits
- 55,350
7 Years of Service
56%
🛡 Understanding How SIEM Systems Work 
This post was created for the Hack Tools Dark Community
SIEM (Security Information and Event Management) solutions are essential tools that provide real-time visibility, centralized log management, threat detection, and incident response across an organization’s IT infrastructure.
Here’s how its core components work:
Disclaimer: This post is intended for educational and informational purposes only. Unauthorized access or misuse of systems is illegal.
Have you deployed a SIEM in your infrastructure? Which platform are you using — Splunk, Wazuh, ELK, or something else? Let’s discuss best practices and lessons learned below!


SIEM (Security Information and Event Management) solutions are essential tools that provide real-time visibility, centralized log management, threat detection, and incident response across an organization’s IT infrastructure.

- Log Collection
SIEM begins by collecting logs from a wide variety of sources such as servers, firewalls, applications, endpoints, and databases. This can be done via:- Agent-based collection
- Agentless (Syslog, SNMP, API integrations, File Forwarding)
- Normalization
After collection, logs in different formats are standardized into a uniform structure, enabling consistent and efficient analysis. - Parsing & Enrichment
Log entries are parsed into structured fields (e.g., IP address, timestamp, event type), then enriched with context like geolocation, user identity, and threat intelligence feeds. - Correlation Engine
This engine uses pre-defined rules or machine learning to link related events, helping identify suspicious behavior.
Example: Multiple failed logins + privilege escalation + access to sensitive files = Potential breach. - Anomaly Detection
SIEM uses statistical modeling or behavioral baselines to detect deviations from normal activity — ideal for uncovering zero-day threats or insider attacks. - Alert Generation
Alerts are triggered based on correlation rules, risk scores, or anomalies, and prioritized by:- Severity
- Impact
- Confidence Level
- Dashboards & Visualizations
Real-time dashboards and visual analytics help monitor threats, analyze trends, and display security KPIs effectively. - Automated Response
When integrated with SOAR tools, SIEM can perform automated actions such as:- Blocking malicious IPs
- Disabling compromised accounts
- Opening incident tickets
- Investigation & Forensics
Analysts can reconstruct the attacker’s activity using timeline views and kill-chain maps for effective incident handling and root cause analysis. - Regulatory Compliance
SIEM helps fulfill compliance requirements (e.g., PCI-DSS, HIPAA, GDPR, SOX) by retaining logs, tracking access, and generating audit reports.

