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added uba-lite to navigation
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Signed-off-by: Zachary Christensen <[email protected]>
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ZachTheSplunker committed Sep 13, 2024
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6 changes: 5 additions & 1 deletion docs/searches/index.md
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## [Threat Object Types](./threat_object_types.md)

Increasing the number of threat object types you track in Risk Rules can be really helpful for tuning noisy alerts, threat hunting on anomalous combinations, and automating SOAR enrichment to unique threat object types. Haylee and Stuart's [Threat Object Fun dashboards](https://splunkbase.splunk.com/app/6917){ target="blank" } can be helpful for all three.
Increasing the number of threat object types you track in Risk Rules can be really helpful for tuning noisy alerts, threat hunting on anomalous combinations, and automating SOAR enrichment to unique threat object types. Haylee and Stuart's [Threat Object Fun dashboards](https://splunkbase.splunk.com/app/6917){ target="blank" } can be helpful for all three.

## [UBA-lite with Basic Statistics](./uba-lite_with_statistics.md)

By comparing entity activity against itself or entities in a peer group (IE business unit, asset category, etc), you can create rules that offer anomaly detection capabilities similar to a UBA/UEBA solution.
2 changes: 1 addition & 1 deletion docs/searches/uba-lite_with_statistics.md
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# UBA-lite with Basic Statistics

By comparing entity activity against itself or entities in a peer group (IE business unit, asset category, etc), you can create rules that offer anomaly detection capabilities similar to a UBA/UEBA solution. In RBA, you might use this as rules that generate risk events, or a field to use as a risk factor, or even just tags for the entity so that when you're investigating a risk-based alert you have an idea that this entity has been behaving erratically compared to various standards of behavior. Also please consider using the incredible step-by-step guided mode of the [Splunk App for Behavioral Profiling](https://splunkbase.splunk.com/app/6980) by Josh Cowling, Rupert Truman, and Premkumar Vyas; it's incredible!
By comparing entity activity against itself or entities in a peer group (IE business unit, asset category, etc), you can create rules that offer anomaly detection capabilities similar to a UBA/UEBA solution. In RBA, you might use this as rules that generate risk events, or a field to use as a risk factor, or even just tags for the entity so that when you're investigating a risk-based alert you have an idea that this entity has been behaving erratically compared to various standards of behavior. Also please consider using the incredible step-by-step guided mode of the [Splunk App for Behavioral Profiling](https://splunkbase.splunk.com/app/6980){ target="_blank" } by Josh Cowling, Rupert Truman, and Premkumar Vyas; it's incredible!

## Example: Event Count Variance per Category by Risk Object

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- Risk Notable History: searches/risk_notable_history.md
- Threat Object Prevalence: searches/threat_object_prevalence.md
- Threat Object Types: searches/threat_object_types.md
- UBA-lite with Basic Statistics: searches/uba-lite_with_statistics.md
- Dashboards:
- dashboards/index.md
- ATT&CK Matrix Risk: dashboards/attack_matrix_risk.md
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