Threat Detection Engineer
A SIEM full of noisy, generic alerts is worse than no SIEM at all, it trains your team to ignore warnings until the one that matters gets missed. This service builds and tunes detection rules mapped to the MITRE ATT&CK framework, then runs proactive threat hunts to find adversary behavior that rule-based alerting missed entirely. It's for security teams drowning in false positives or running a SIEM that was configured once at deployment and never revisited. The result is detection coverage tied to real attacker techniques, with alerts your analysts can actually trust and act on.
This is a capability we deliver for you as a service, not a role we’re hiring for.
How We’d Approach This
A clear, staged plan, not a black box
These are the service-specific steps inside our six-step process.
- 1
Diagnose current detection coverage against the ATT&CK matrix to find which techniques are unmonitored or under-alerting.
- 2
Pilot new detection rules against historical log data to validate signal quality before enabling them live.
- 3
Review tuned rules and alert thresholds with the SOC team to cut false-positive fatigue.
- 4
Operate ongoing threat hunts and rule maintenance as new techniques and log sources are added.
What You Get
Deliverables from this engagement
- ATT&CK-mapped detection coverage assessment
- Tuned SIEM detection rules with validated signal quality
- Documented threat-hunting playbooks and findings
- Reduced false-positive alert baseline for the SOC
Six Ways We Could Architect This
Different engagement, different build, pick the shape that fits
There’s more than one way to deliver on this service. Browse a few of the ways we’d structure the work, depending on your speed, budget, and integration needs.
Read all 6 architectures as text
Lean Fast-Start Architecture
Single SIEM Instance
- Log Sources Ingested
- Manually Written Detection Rules
- Alert Console Reviewed Daily
Manual Hunting
- Ad Hoc Hunt Queries
- Analyst Reviews Query Results
- Suspicious Pattern Flagged
Coverage Tracking
- Spreadsheet ATT&CK Coverage Map
- Gap List Prioritized
- Coverage Reviewed Monthly
Outcome
- New Rule Added When Gap Found
- Rule Tested Against Sample Logs
- Rule Promoted to Production
Cloud-Native / Managed Services Architecture
Managed Log Pipeline
- Cloud Native SIEM
- Managed Log Collection Pipeline
- Log Retention and Indexing
Detection Engineering
- Detection as Code Repository
- Cloud Data Lake for Historical Hunts
- Version Controlled Rule Library
Coverage Management
- ATT&CK Coverage Dashboard
- Rule Tuning Against Historical Data
- Coverage Trend Reporting
Outcome
- Validated Rules Deployed to SIEM
- Coverage Improvement Report
- Stakeholder Review Meeting
Event-Driven & Automation-First Architecture
Triggers
- New Log Source Onboarded
- New ATT&CK Technique Published
- Analyst Marks Alert as False Positive
Automated Pipeline
- Auto Coverage Gap Analysis
- Detection as Code Rule Drafted
- Rule Deployed via CI CD Pipeline
Live Detection
- Rule Fires on Live Traffic
- Auto Enrichment of Alert
- Case Auto Created in SOAR
Analyst Response
- Analyst Notified and Investigates
- Rule Tuned if False Positive
- Confirmed Incident Escalated
Enterprise-Grade & Compliance-Ready Architecture
Rule Governance
- Rule Change Approval Workflow
- Segregation of Duties for Tuning
- Peer Review Before Deployment
Redundancy
- Multi Region SIEM Redundancy
- Backup Log Retention Store
- Failover Alerting Path
Audit Trail
- Audit Log of Every Rule Deployed
- Compliance Evidence for Continuous Monitoring
- Rule Change History Archive
Oversight
- SOC Leadership Review
- Quarterly Coverage Audit
- Board Level Risk Summary
AI-Augmented, Human-in-the-Loop Architecture
Behavioral Data
- User and Entity Behavior Logs
- Historical Alert Outcomes
- Threat Intel Technique Feed
AI Analytics Engine
- AI Baseline Behavior Analytics
- AI Surfaces Anomalies
- AI Drafts Candidate Detection Rule
Engineer Validation Gate
- Engineer Reviews Candidate Rule
- Engineer Backtests Against Historical Data
- Engineer Sets Alert Threshold
Deployment
- Approved Rule Enabled Live
- Rejected Rule Sent Back to AI
- Alert Fatigue Monitored Post Deploy
Integration-Heavy / Ecosystem-Connected Architecture
Client Ecosystem
- EDR Platform
- Identity Provider Logs
- Cloud Logs
- Threat Intel Feed
Detection Engineering Core
- Detection as Code Repository
- SIEM Rule Engine
- Coverage Mapping Engine
Two Way Sync
- Log Sources Feed SIEM
- Threat Intel Enriches Rules
- Alerts Pushed to SOAR Ticketing
SOC Alerting
- Slack or Teams SOC Channel
- On Call Escalation Path
More in Security, Risk & Compliance
- Senior SecOps Engineer
Secrets scanning and secure-by-default review on every code change.
- Compliance Auditor
SOC 2, ISO 27001, HIPAA, and PCI-DSS compliance-certification guidance.
- Blockchain Security Auditor
Smart-contract security audits and exploit analysis before deployment.
- AI-Generated Code Security Auditor
Security review of AI/vibe-coded applications for hardcoded secrets, broken row-level security, and prompt-injection sinks.
Ready to get started?
Tell us what you’re trying to get done and we’ll help you find the highest-leverage place to start, scoped small enough to prove itself before you commit to anything bigger.
Talk to us about Threat Detection EngineerMost engagements like this start as a $500–$2,500 pilot, see full pricing.