Baseline Analysis
Establishing what normal activity looks like in an environment so that deviations stand out as worth investigating. In detection and SIEM work, the baseline is the reference against which anomalies are measured.
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Frequency Analysis
A related concept to explore, covered by 7 lessons.
Alert Design
Deciding how a detection turns into an actionable alert: what conditions trigger it, what context it carries, how severe it is, and how it routes to analysts, so that the alert is meaningful and not lost in noise.
5
lessons
Credential Dumping Indicators
The observable signals in logs and telemetry that credential dumping is occurring, such as suspicious access to LSASS memory, use of known dumping tools, or unusual reads of credential stores, that SIEM queries are written to catch.
5
lessons
DNS-Based Detection
Detection techniques that use DNS query data to find threats, spotting lookups of malicious, newly registered, or algorithmically generated domains, beaconing patterns, and DNS tunneling, often written as SIEM queries over DNS logs.
5
lessons
First-Seen Detection
A SIEM detection technique that flags activity occurring for the first time in an environment, a new domain, a never-before-seen process, a first login from a location, since novelty often signals something worth investigating.
5
lessons
Outlier Detection
A hunting and analysis technique that finds data points deviating markedly from the norm, unusual hosts, accounts, or behaviors, on the principle that statistical outliers often warrant investigation as possible threats.
5
lessons
Identity Anomaly Detection
Detecting unusual identity behavior that may signal compromise, such as logins at odd times or locations, impossible travel, or atypical access, by comparing current activity against an established baseline of normal.
1
lesson
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Network Anomaly Detection
Detecting unusual network behavior, traffic that deviates from baselines, rare destinations, atypical volumes or patterns, on the premise that abnormality often indicates malicious activity. A core network-detection technique.
1
lesson
Process Anomaly Detection
Detecting unusual process behavior on endpoints, rare process names, unexpected parents, anomalous command lines, or atypical execution patterns, on the premise that abnormal processes often indicate malicious activity.
1
lesson
Statistical Detection
A detection-engineering approach that builds rules on statistical properties of data, distributions, thresholds, behavioral baselines, complementing signature- and rule-based methods with behavior-driven coverage.
1
lesson
Related Lessons
5 lessons cover this conceptSIEM Data Models and Log Normalization
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Aggregation and Statistical Analysis for Threat Detection
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Time-Series Analysis and Multi-Source Correlation
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Query Tuning, Lookup Tables, and Production Operations
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Designing a Detection Program with SIEM Queries
SOC Analyst
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