CASE STUDY · CYBERSECURITY
Managed detection & response: from alert overload to continuous security response.
Illustrative scenario · Sector: Cybersecurity and enterprise IT · Solution partner: Brandsmashers Tech
- 24×7Target monitoring coverage, up from business hours
- 1,200Alerts a month, triaged by risk instead of volume
01 · PROJECT OVERVIEW
Tools generate signals, not responses.
Modern security teams can deploy many tools: SIEM, EDR, cloud security, identity monitoring, vulnerability scanners, email security and network monitoring. But tools generate signals. They do not automatically guarantee an effective response.
The objective is not to promise that every attack will be prevented. It is to improve detection quality, investigation speed, escalation and response consistency.
- Continuous 24×7 monitoring of security signals
- Risk-based alert triage and threat investigation
- Proactive threat hunting
- Severity-based escalation and management reporting
- 1Does this alert matter, or is it a false positive?
- 2Is an account compromised, or is lateral movement under way?
- 3What should be investigated first, who should be told, and what should be done?
02 · THE CHALLENGE
More alerts than investigators.
An organisation operates about 1,800 endpoints and cloud workloads and receives roughly 1,200 security alerts a month. It has internal capacity for only about 300 deep investigations, and security coverage only during business hours.
- PROBLEM 01Alert volume beyond capacity
1,200 alerts a month against capacity for about 300 deep investigations.
- PROBLEM 02Business-hours coverage
Nights and weekends are when attackers have the most time.
- PROBLEM 03Signals in separate tools
Endpoint, identity, network and cloud activity are rarely correlated in one investigation.
- PROBLEM 04Manual escalation
Who gets told, and how fast, depends on who happens to be on shift.
Security is stronger when someone is watching the signal after the tools generate it.
03 · THE MDR APPROACH
Watch continuously, investigate by risk, escalate by severity.
Brandsmashers supports MDR operations with analysts, engineers and response specialists working alongside the existing security team.
- 0124×7 monitoring
Continuous monitoring of security signals across tools.
- 02Alert triage
Alerts prioritised by risk rather than by volume.
- 03Threat investigation
Endpoint, identity, network and cloud activity correlated in one view.
- 04Threat hunting
Proactive searches for suspicious patterns the tools did not flag.
- 05Incident escalation
Confirmed threats routed according to severity-based SLAs.
- 06Reporting
Management visibility into incidents, trends and response performance.
- 1→Signal
- 2→Triage
- 3→Investigate
- 4→Hunt
- 5→Escalate
- 6Report
04 · RESULTS
The operating model.
The same assets and alert volume, handled with continuous coverage, risk-based prioritisation and consistent escalation.
| METRIC | EXISTING | MDR MODEL |
|---|---|---|
| Assets | 1,800 | 1,800 |
| Alerts a month | 1,200 | 1,200 |
| Deep investigations | ~300, first come first served | Risk-prioritised |
| Coverage | Business hours | 24×7 |
| Escalation | Manual | Severity-based SLA |
MDR operating metrics are illustrative. IBM’s 2025 India breach research provides the external breach-lifecycle context.
- 1,800Endpoints and cloud workloadsIn the modeled organisation.
- 1,200Security alerts a monthTriaged by risk.
- 24×7Monitoring coverageFrom business hours.
- SLA-basedEscalationBy severity, not by who is on shift.
- Better detection quality
Correlated signals separate real threats from noise.
- Faster investigation
Analysts start with the highest-risk alerts.
- Consistent response
Severity-based SLAs decide who is told and how fast.
- More team capacity
The internal team focuses on decisions, not triage queues.
05 · DELIVERABLES
How Brandsmashers would support it.
- Security analysts24×7 monitoring and risk-based triage.
- Threat investigationCorrelation across endpoint, identity, network and cloud.
- Threat huntingProactive searches for suspicious patterns.
- Escalation playbooksSeverity-based SLAs and notification paths.
- ReportingIncidents, trends and response performance for management.
- Detection
- SIEMEDRIdentity monitoringCloud security
- Analysis
- Alert triageThreat investigationThreat hunting
- Response
- Incident escalationSeverity-based SLAs
- Visibility
- Security reportingTrend analysis
TAKEAWAYS
Why Brandsmashers.
- 01Prioritise alerts by risk, not by arrival order.
- 02Correlate signals across tools before deciding.
- 03Cover the hours attackers prefer.
- 04Make escalation a defined process with SLAs.
- Enterprise IT
- Financial services
- Healthcare
- SaaS
- Manufacturing
YOUR TURN
Drowning in security alerts?
Organisations can augment their security operations with analysts, engineers and response specialists from Brandsmashers, without immediately building a large internal team.