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Rivac AI Labs
Security, Risk & Compliance

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. 1

    Diagnose current detection coverage against the ATT&CK matrix to find which techniques are unmonitored or under-alerting.

  2. 2

    Pilot new detection rules against historical log data to validate signal quality before enabling them live.

  3. 3

    Review tuned rules and alert thresholds with the SOC team to cut false-positive fatigue.

  4. 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

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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 Engineer

Most engagements like this start as a $500–$2,500 pilot, see full pricing.

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