Case Study - Designing a Managed Detection & Response Practice from Self-Service to Fully Managed

From Self-Service Platform to Managed Operations

The client ran a successful digital risk protection platform serving dozens of enterprise clients across finance, retail, and technology sectors. The platform detected brand abuse, executive impersonation, phishing infrastructure, and fraudulent content across the internet. Clients received alerts and had access to the tooling — but handled investigation, qualification, and takedown operations themselves.

The market opportunity was clear: move upmarket by offering fully managed MDR services. Instead of delivering a platform that security teams operate, become the security team operating on their behalf. The challenge wasn't technical — the detection platform was solid. The challenge was operational: designing the processes, building the analyst workflows, and establishing the trust frameworks that make hands-off managed delivery viable.

That's where we came in. PragmaGeeks was engaged to design and implement the complete MDR operational practice — from first client conversation to closed incident loop.

What We Designed

Structured Client Onboarding

We designed the onboarding framework from first principles: what information do analysts need to deliver high-confidence threat qualification, and how do we capture it consistently across every client engagement?

The process we built: asset inventory collection (domains, trademarks, executive profiles, brand elements, product names), threat landscape assessment based on industry vertical and geographic exposure, monitoring scope definition, and rules-of-engagement establishment — documenting exactly what the MDR team handles autonomously versus what triggers client escalation.

Every client onboarding produced two artifacts: a platform configuration baseline tuned to their threat profile, and a signed rules-of-engagement document defining operational authority. This wasn't bureaucracy — it was the trust framework that made autonomous analyst action possible.

We templatized the workflow with clear handover criteria between sales, onboarding, and operations teams. Time from contract signature to live monitoring coverage: under three days.

Per-Client Tuning Methodology

Digital risk protection signals aren't universal. What constitutes a legitimate brand mention versus attempted impersonation varies by industry, geography, and client risk tolerance. A fintech operating in high-fraud regions needs different detection sensitivity than a B2B software company with a narrow threat surface.

We designed the tuning methodology around an initial calibration phase: analysts work closely with client security teams during the first 30 days, classifying detections, establishing baseline false-positive rates, and iteratively adjusting detection thresholds and monitoring scope. High-visibility brands in adversarial regions got expanded coverage and tighter confirmation criteria. Clients with focused threat profiles got precision scoping to prevent noise.

The methodology wasn't one-and-done. We embedded continuous refinement into quarterly business reviews — monitoring coverage drift as clients launch products, enter new markets, or face emerging threat actor tactics.

Analyst Workflows with Embedded Automation

We designed analyst workflows around a core principle: analysts should spend their time on judgment calls — threat qualification, escalation decisions, remediation strategy selection. Context gathering, data enrichment, and notification formatting should happen automatically.

The workflow we built: when the platform flags a potential threat, the triage pipeline automatically enriches it with WHOIS registration data, hosting provider information, SSL certificate lineage, historical incident correlation, and geolocation context. By the time an analyst opens the ticket, investigative groundwork is complete.

For common threat patterns — typosquatting domains, phishing pages using stolen brand assets, fraudulent social media accounts — we automated takedown request generation. Analysts review, approve, and dispatch. For complex cases requiring custom remediation strategies, analysts have pre-enriched context to make decisions quickly.

Escalation routing follows rules-of-engagement logic: severity level, threat type, and client-specific authority boundaries determine whether the MDR team acts autonomously or escalates to client security teams with recommended actions.

Roughly 70% of manual analyst overhead eliminated. The team scaled without headcount scaling linearly.

Rules of Engagement & Service Delivery

The rules-of-engagement framework became the operational spine of the managed service. It answered the critical question: when does the MDR team act autonomously, and when do they escalate for client approval?

We designed a tiered authority model. For high-confidence, low-impact threats — obvious typosquatting, confirmed phishing infrastructure, fraudulent product listings — analysts execute takedowns autonomously and notify clients post-action. For sensitive scenarios — executive impersonation, credential exposure in data breaches, sophisticated fraud campaigns targeting high-value customers — analysts escalate with full context and recommended remediation paths.

The service tiers we defined: continuous monitoring with defined coverage scope, triage and qualification SLAs based on threat severity, managed takedown operations coordinated with registrars and hosting providers, escalation workflows with clear handoff criteria to client security teams, and closed-loop incident documentation capturing actions taken and outcomes achieved.

The MDR analysts operated as an extension of each client's security function — trusted to act independently within defined boundaries, disciplined about escalation when authority limits were reached.

The Outcome

The cybersecurity provider successfully launched their managed MDR offering with a repeatable operational model. New clients onboard in days, not weeks. Analysts scale without linear headcount growth. The rules-of-engagement framework gives clients confidence in autonomous operations while maintaining clear escalation paths.

PragmaGeeks designed the operational layer that made the transition from platform provider to managed security partner viable. The framework we built continues to support their MDR practice as they expand their customer base.

What We Used