Representative Engagements

Real-world security engineering that delivers measurable outcomes.

From SIEM architecture to detection engineering, these engagements represent the types of challenges ThreatIQ Labs helps organizations solve.

The SIGNAL Framework

How we move from data to intelligence.

A repeatable, six-step process that turns raw telemetry into intelligence — and improves with every cycle.

S

See

Gain visibility

SeeEstablish visibility across endpoints, identity, network, cloud, and applications — so nothing security-relevant is happening in the dark.
I

Identify

Find what matters

IdentifyDetermine the assets, activity, and signals worth watching, so effort and detection focus on what actually matters — not noise.
G

Gather

Collect the right data

GatherCollect the right telemetry at the right fidelity and retention — enough to detect and investigate, without runaway ingest.
N

Normalize

Standardize and enrich

NormalizeParse, standardize, and enrich raw data into a consistent model so events from different sources can be correlated.
A

Analyze

Generate intelligence

AnalyzeApply detections, correlation, and context to turn normalized data into high-fidelity alerts and actionable intelligence.
L

Learn

Improve continuously

LearnFeed findings back in — tune detections, close gaps, and refine the process so visibility and detection improve over time.
What We Deliver

Outcomes teams can sustain.

Every engagement is designed to improve visibility, reduce uncertainty, and provide outcomes security teams can sustain long after implementation.

  • Faster investigations
  • Better executive reporting
  • Reduced alert fatigue
  • Increased operational maturity
  • Improved telemetry coverage
Representative Engagements

Challenges we solve.

Security Visibility Dashboards

Challenge

Security teams struggled to identify meaningful trends across large volumes of firewall and telemetry data.

Outcome

Operational dashboards transformed raw telemetry into actionable insights.

Detection Engineering Programs

Challenge

Excessive alert noise reduced analyst effectiveness.

Outcome

Higher-fidelity detections improved confidence and reduced fatigue.

Cloud Logging Architecture

Challenge

Organizations lacked consistent cloud telemetry strategies.

Outcome

Unified cloud visibility supporting hybrid environments.

Security Telemetry Assessments

Challenge

Leaders lacked understanding of telemetry gaps across their environments.

Outcome

Clear roadmaps for improving visibility and coverage.

SIEM Optimization

Challenge

Growing environments and inefficient workflows reduced SIEM effectiveness.

Outcome

Improved performance, content quality, and operational workflows.

Executive Security Reporting

Challenge

Leadership struggled to understand security trends and operational performance.

Outcome

Metrics and reporting translated technical risk into business insight.

Selected Artifacts

The work, in numbers.

A snapshot of the telemetry, detections, and tuning behind recent engagements.

12.4M
Events
−23%
Noise
8.72M
Telemetry
152
Detection rules

Security Visibility Dashboard

Executive and operational dashboard for firewall and network telemetry.

Cloud Logging Architecture

Azure-to-Splunk architecture for scalable, reliable cloud log collection.

Detection Lifecycle

End-to-end process for building and tuning high-fidelity detections.

Telemetry Maturity Assessment

Maturity assessment highlighting gaps and prioritized recommendations.

Let's build security programs that deliver results.

Whether you're building a SIEM strategy, improving detections, or increasing visibility, ThreatIQ Labs can help turn telemetry into trusted intelligence.