Incident management · Production

Expand Coverage Against Threats with Exabeam Content Library and TDIR Use Case Packages

The problem

SOCs face overwhelming volumes of external attacks, compromised credentials, and malicious insider activity, while existing tools built on static correlation rules generate excessive false positive noise and fail to detect identity-based attacks.

First attempt

Legacy detection approaches relying on static correlation rules, signature-based rules, DLP, and XDR tools are poorly suited for catching malicious insiders and compromised credentials, and generate high false positive rates that overwhelm security teams.

Workflow diagram · grounded in source
1
User behavior baseline established
ai_action
“we establish a baseline for normal user behavior, and then capture deviations from that behavior in a user's risk score”
2
Anomalous activity detection
ai_action
“using behavioral analytics to identify anomalous activity associated with user compromise. Unlike security tools that rely on static correlation or signature-based rules, we establish a baseline for normal user behavior, and then capture…”
3
Risky activity visibility
ai_action
“Exabeam automatically provides visibility into risky activities such as job searches or sending data to a personal email that may ultimately lead to a data leak”
4
Automated timeline assembly
output
“These events are all automatically assembled into a user's timeline, which are presented in clear, plain language that allows analysts to easily navigate all user activity without needing to write a single query”
5
Analyst reviews user timeline
human_review
“allows analysts to easily navigate all user activity without needing to write a single query”
6
Watchlist continuous monitoring
ai_action
“our watchlists allow organizations to continuously monitor employees such as "Suspected Leavers," to identify risk before an incident occurs”
7
SOAR playbook response
output
“Turnkey Playbooks for common threats like phishing make Exabeam the simplest SOAR to implement with no additional licensing or configuration required, significantly accelerating time to value”
Reported outcome

Exabeam's TDIR packages cover 20 threat-centric use cases across three categories, with automated user timelines and SOAR playbooks that significantly accelerate time to value and allow analysts to navigate all user activity without writing queries.

Reported metrics
TDIR use cases covered20
Stolen credentials in data breaches (external industry research)80%
Time to valuesignificantly accelerating time to value
Analyst productivityenhancing analyst productivity
Reported stack
ExabeamSOARMITRE
Source
https://www.exabeam.com/blog/infosec-trends/expand-coverage-against-threats-with-exabeam-content-library-and-tdir-use-case-packages/
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Exabeam's TDIR packages cover 20 threat-centric use cases across three categories, with automated user timelines and SOAR playbooks that significantly accelerate time to value and allow analysts to navigate all user a…

What tools did this team use?

Exabeam, SOAR, MITRE.

What results were reported?

TDIR use cases covered: 20; Stolen credentials in data breaches (external industry research): 80%; Time to value: significantly accelerating time to value; Analyst productivity: enhancing analyst productivity (source-reported, not independently verified).

What failed first in this deployment?

Legacy detection approaches relying on static correlation rules, signature-based rules, DLP, and XDR tools are poorly suited for catching malicious insiders and compromised credentials, and generate high false positiv…

How is this incident management AI workflow structured?

User behavior baseline established → Anomalous activity detection → Risky activity visibility → Automated timeline assembly → Analyst reviews user timeline → Watchlist continuous monitoring → SOAR playbook response.

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