SIEM Detection Engineering Platform Resume Project Example
A SIEM detection engineering platform that ingests security logs, maps detections to MITRE ATT&CK, and tunes alerts to cut false positives while improving threat coverage.
Free to start · No credit card required
ELENA ROSSI
Cybersecurity Analyst
Project
SIEM detections
Coverage-mapped- Engineered SIEM detections mapped to MITRE ATT&CK.
- Tuned alerts to reduce false positives substantially.
- Documented detection logic and coverage gaps.
Why this project is valuable
Strong detection signal
Detection engineering shows you can build and tune the rules a SOC relies on, not just respond to alerts others wrote.
Good ATS coverage
The project naturally supports SIEM, Splunk, MITRE ATT&CK, detection engineering, Sigma, and log analysis keywords.
Clear SOC relevance
Better detections with fewer false positives is a direct, measurable SOC improvement hiring managers value.
Good interview depth
You can discuss log sources, detection logic, ATT&CK coverage, tuning, and how you balanced noise against missed threats.
Project overview
A SIEM detection engineering platform is strong cybersecurity analyst resume material because it shows you can improve a SOC's threat coverage and signal quality, not just triage whatever alerts appear.
The platform ingests endpoint, authentication, and network logs, encodes detection logic as version-controlled rules mapped to MITRE ATT&CK techniques, and tunes alerts to reduce false positives.
On a resume, that gives you concrete ways to describe log onboarding, detection authoring, ATT&CK coverage mapping, alert tuning, and how you measured improvements in fidelity and threat visibility.
Architecture overview
Project flowLog source onboarding
Endpoint, authentication, and network logs are normalized and ingested into the SIEM.
Detection rule authoring
Detections are written as version-controlled Sigma and SIEM rules for repeatable threat logic.
ATT&CK coverage mapping
Each detection maps to MITRE ATT&CK techniques to make coverage gaps visible.
Alert tuning
Thresholds and allowlists reduce false positives without losing true detections.
Alert triage routing
High-fidelity alerts route to analysts with context for faster investigation.
Coverage and noise metrics
Dashboards track false-positive rates and ATT&CK coverage over time.
What this project includes
- Normalized multi-source log onboarding
- Version-controlled detection rules
- MITRE ATT&CK coverage mapping
- Alert tuning to reduce false positives
- Coverage and noise dashboards
Tech stack
This stack is practical for SOC hiring because it shows detection authoring and tuning as engineering, not just clicking through a SIEM console.
Splunk
Serves as the SIEM for log search, correlation, and alerting.
Sigma
Encodes portable, version-controlled detection logic across platforms.
MITRE ATT&CK
Frames detection coverage against real adversary techniques.
Python
Automates rule deployment, coverage reporting, and tuning analysis.
Elastic
Provides an alternative log analytics backend for detections.
Git
Version-controls detection rules for review and rollback.
Features implemented
Version-controlled detections
Rules as code make detections reviewable, testable, and auditable.
ATT&CK coverage mapping
Mapping makes blind spots visible so the SOC prioritizes real gaps.
Alert tuning
Reducing false positives improves analyst focus and reduces fatigue.
Context-rich alerts
Enriched alerts speed triage instead of dumping raw events on analysts.
Coverage metrics
Dashboards quantify detection quality and coverage improvement.
Repeatable deployment
Automated rule deployment keeps detections consistent across environments.
Resume bullet examples
These bullets show how to present SIEM work as detection engineering rather than 'monitored alerts in Splunk.'
- Engineered version-controlled SIEM detections in Splunk and Sigma mapped to MITRE ATT&CK techniques to make threat coverage gaps visible.
- Tuned alert thresholds and allowlists to cut false positives substantially while preserving true-positive detections.
- Onboarded and normalized endpoint, authentication, and network logs to expand detection coverage across the environment.
- Built coverage and noise dashboards to track false-positive rates and ATT&CK coverage improvements over time.
Skills demonstrated
This project demonstrates strong cybersecurity analyst skills for detection engineering, SIEM operations, ATT&CK mapping, and alert tuning.
Detection
Frameworks
Operations
ATS keywords extracted from this project
Use keywords that reflect detection engineering and SOC operations, not only the SIEM product name.
Interview questions based on this project
SIEM detection projects often lead to questions about coverage, tuning, and balancing noise against missed threats.
How did you decide what to detect?
I mapped detections to MITRE ATT&CK techniques relevant to our environment, prioritizing high-impact gaps rather than writing arbitrary rules.
How did you reduce false positives?
I analyzed alert volume, added allowlists and thresholds based on baseline behavior, and validated that true positives still fired.
How did you measure coverage?
I tracked which ATT&CK techniques had detections and monitored false-positive rates so I could show fidelity and coverage improvements.
How would you improve it further?
I would add detection unit tests, automated coverage reports, and purple-team validation to confirm detections fire on real techniques.
Common mistakes
Explain authoring, tuning, and coverage so it sounds like detection engineering.
Mapping to ATT&CK shows structured coverage thinking rather than ad hoc rules.
Discuss false-positive reduction so alert quality sounds improved.
Include coverage and noise metrics to make impact concrete.
FAQ
Is a SIEM detection platform a good cybersecurity analyst resume project?
Yes. It demonstrates detection engineering, ATT&CK mapping, and tuning that SOC and security analyst roles value highly.
Do I need an enterprise SIEM?
A free Splunk or Elastic instance with sample log datasets works for a portfolio, as long as detections and tuning are real.
Should I mention MITRE ATT&CK?
Yes. ATT&CK mapping is a strong signal that shows structured, coverage-driven detection thinking.
How many bullets should I use for this project on a resume?
Usually two to four bullets. Focus on detection authoring, ATT&CK coverage, and false-positive reduction.
Turn project details into resume evidence
Use this detection platform to strengthen your cybersecurity analyst resume
Present detection engineering, ATT&CK coverage, and recruiter-friendly tuning impact with clearer wording and stronger keyword alignment.
Free to start · No credit card required