Incident Handling · Topic 1 of 4
SIEM, SOAR and Security Event Monitoring
Learn what SIEM and SOAR do, how packet captures and logs reveal incidents, how to spot suspicious events and when to escalate to a senior analyst.
- 5 min
- A SIEM collects, normalises, correlates and alerts on log data.
- Correlation links separate events into a pattern.
- SOAR automates response steps using playbooks.
What it is
Security monitoring is the daily work of watching for signs that something is wrong.
A large network produces millions of events a day, far more than a person can read. So organisations use tools to collect events in one place, find patterns, and raise alerts for people to examine.
This page covers the two main tools, SIEM and SOAR, the data they watch, and how to decide when a problem needs to go to someone more senior.
How it works
Data flows into a central tool, the tool picks out what matters, and people or playbooks respond.
SIEM
SIEM stands for security information and event management. It is a platform that gathers log data from many sources and helps analysts see the whole picture.
A SIEM typically does these jobs:
- Collects logs from firewalls, servers, endpoints, applications and security tools
- Normalises them, which means converting different formats into one common layout
- Correlates events, which means linking separate events into one story
- Alerts when rules or patterns match
- Stores logs for searching and for later investigation or audits
- Shows dashboards and reports
Correlation is the key idea. One failed login is normal. Fifty failed logins on one account from one address, followed by a success, is a pattern that needs attention.
SOAR
SOAR stands for security orchestration, automation and response. It works with the SIEM and other tools to carry out routine response steps automatically, using playbooks, which are step by step workflows.
For example, when a SIEM reports a phishing email, a playbook might look up the sender, check the link reputation, remove the message from other mailboxes, and open a ticket. A person is only pulled in when a human decision is needed.
| Tool | Main purpose |
|---|---|
| SIEM | Collects, correlates and alerts on events |
| SOAR | Automates and coordinates the response |
SOAR saves time, makes responses more consistent, and lets analysts focus on difficult cases. It does not replace people.
Network data that is monitored
Analysts rely on several kinds of data.
| Data | What it shows |
|---|---|
| Log entries | Records from firewalls, servers, DNS, proxies, authentication systems and applications |
| Alerts | Warnings from IDS, IPS, antivirus and other security tools |
| Packet captures | The actual packets on the wire, for detailed analysis |
A packet capture gives the most detail, but it is large and costly to keep, so it is used for targeted investigation. Logs are smaller and are kept for longer.
Mar 3 02:14:07 fw1 %ASA-4-106023: Deny tcp src outside:203.0.113.9/51022 dst inside:10.0.0.5/22 by access-group "OUTSIDE_IN"
This example is a Cisco ASA firewall log line. It shows a denied connection attempt from an outside address toward port 22 on an inside host. A single line like this is routine, but many of them from one source would suggest a scan.
Identifying suspicious events
Examples of suspicious events are:
- repeated failed logins, or a login from an unusual place or time
- a device contacting a known bad address
- a sudden large upload of data
- unusual traffic on odd ports, or a large number of DNS requests
- security software disabled, or logs cleared
- a new account or privilege change that nobody requested
Compare what you see with a baseline, the normal behaviour for that network. Events that differ strongly from the baseline deserve a closer look.
An event is anything that happens. An incident is an event, or group of events, that harms or threatens the organisation's security. Most events are harmless, and analysts triage them, which means sorting by importance.
Escalation
Escalation means passing a problem to a more senior person or team when the first analyst cannot or should not deal with it alone. Typical reasons are:
- a confirmed compromise of a system or account
- sensitive or regulated data may be involved
- the issue affects many systems or critical services
- the analyst lacks the authority or skill to act
- the incident meets a severity level set by the policy
Follow the written procedure, record what you found, and keep the evidence safe. Escalate early when in doubt, since a late escalation can cost more than an early false alarm.
What to remember for the exam
Seven facts cover most questions on this topic.
- A SIEM collects, normalises, correlates and alerts on log data.
- Correlation links separate events into a pattern.
- SOAR automates response steps using playbooks.
- Packet captures give the most detail, and logs are smaller and kept for longer.
- A baseline of normal behaviour helps to identify anomalies.
- An event is anything that happens, and an incident is an event that harms or threatens security.
- Escalate when the issue is serious, wide, involves sensitive data or is beyond your authority.
SIEM finds and alerts. SOAR acts. If a question describes automatic playbooks, the answer is SOAR.
Common mistakes
These four errors are common.
Thinking a SIEM prevents attacks. It detects and alerts, so people or other tools must respond.
Treating every alert as an incident. Many alerts are false positives, so triage them first.
Delaying escalation. Waiting to be certain gives an attacker more time.
Ignoring the baseline. Without knowing normal, you cannot judge what is unusual.
Do not delete or change logs while investigating. They are evidence.
Check yourself
Work through these three questions.
What does a SIEM do with log data?
It collects logs from many sources, normalises them, correlates events into patterns and raises alerts.
How is SOAR different from a SIEM?
A SIEM collects and alerts, and SOAR automates and coordinates the response using playbooks.
When should an analyst escalate an event?
When there is a confirmed compromise, sensitive data is involved, many systems are affected, or the analyst lacks the authority to act.
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