Cases Studies

Case Studies & Insights

Real-world security challenges. Real operational outcomes.

Our case studies explore how modern detection, response, and security operations are built, measured, and continuously improved. Each article is grounded in real-world experience from operating security programs across enterprise and regulated environments—focused on what actually works when incidents happen.

From detection engineering and threat hunting to response readiness and program maturity, these insights reflect how Argus Defense designs security for outcomes, not noise.

Operating a Mature Detection Program at Scale

Reaching detection maturity is not about deploying more tools or writing more rules. It is about operating detection as a disciplined, scalable program.

Measuring Detection ROI and Security Outcomes

Security teams often struggle to explain the value of detection investments. Alert counts and dashboard metrics rarely translate into business impact.

Building Detection Resilience Against Threat Churn

Threat actors constantly evolve tools, infrastructure, and techniques. Detection programs that rely on static indicators inevitably fall behind.

Designing Response-Ready Detections

Most detections are built to generate alerts. Very few are designed to enable fast, confident response.

Threat Hunting as a Detection Force Multiplier

Threat hunting is often treated as a luxury or side project.

Building Detection Coverage Across the Kill Chain

Most detection programs over-index on initial access while leaving critical gaps deeper in the attack lifecycle.

Measuring Detection ROI Beyond Compliance

Many organizations invest heavily in detection capabilities but struggle to explain their value beyond compliance checkboxes.

Detection Engineering vs. SIEM Rule Sprawl

Most organizations believe they have a detection program. In reality, they have a growing collection of unmanaged SIEM rules.

Reducing Noise Without Losing Coverage

Alert fatigue is not a staffing problem — it is a detection design problem.

Building a Detection Foundation

Most organizations have hundreds of detections — but no detection system.