Case Study: Mid-Market Tech SaaS Organization
Driving measurable efficiency gains, risk reduction, and analyst coverage without adding headcount
Executive Summary
Executive Summary
A global mid-market SaaS provider in the cloud infrastructure space, with a global footprint and $14M+ annual revenue, struggled with constant alert floods, manual processes, and no 24×7 threat coverage. With just two analysts managing 2,000+ assets, the team faced 561+ hours of repetitive grunt work each month, resulting in slow detection and high operational fatigue.
Secure.com was deployed to transform their security operations without increasing headcount. Leveraging Asset Discovery, Risk Engine, Workflow Automation, Mindy AI Security Assistant, AI Teammates, GRC Automation, and the Unified Knowledge Graph, the customer reduced manual workloads, cut triage time by 75%, and achieved 70% faster detection (MTTD) with nearly 50% faster remediation (MTTR).
Company Profile
Industry
Cloud Infrastructure
(B2B SaaS)
(B2B SaaS)
Annual Revenue
$14M
Customers
500+ Global
Employees
Mid-Market Size
Geographic Footprint
Operating in 150+ countries
Pre-existing Environment
AWS-Centric Cloud Stack
Security Tools
Disconnected Point Solutions
Assets
2,000+ Servers, Endpoints, SaaS
Alert Volume
240+/day (~7,200/month)
The Challenge
- 1,000+ hours/month spent on repetitive tasks such as asset inventorying, classification, and compliance checks.
- Delayed Mean Time to Detect (MTTD) — up to 3 months in some cases — due to fragmented visibility across systems.
- Disconnected workflows leading to bottlenecks in incident response and compliance processes.
- No unified asset register, making it difficult to correlate vulnerabilities, ownership, and business impact.
The security leadership knew they needed a platform that could deliver real-time visibility, context-driven prioritization, and automation at scale — without adding headcount.
How Secure.com Was Chosen
During evaluation, the customer prioritized three things: time‑to‑value, context‑aware prioritization, and operational automation without losing control. Secure.com's agentless onboarding and role-aware setup produced immediate momentum; connectors began pulling telemetry within minutes, and early exposures were actionable on day one.
A hands‑on proof‑of‑value sealed the decision. In under 30 days, the team saw a >60% reduction in low‑value workload, ~75% faster triage, and ~70% faster detection (MTTD), all without adding headcount. Slack/Jira integrations kept people in their flow, AI Teammates provided dependable after‑hours coverage with human approval for consequential actions, and No‑Code Workflow Automation generated an immutable audit trail that simplified compliance.
Alternatives fell short in combination: point solutions lacked a unified graph; SOAR demanded brittle scripting; GRC suites required months of configuration before value; and "rip‑and‑replace" propositions threatened disruption.
How Secure.com Solved the Challenge
User Onboarding
Simple login and role selection wizard connected tools instantly. Analysts began resolving issues on Day 1.
Asset Discovery
Agentless discovery + ML classification replaced 176 hours/month of manual asset tracking. Reduced blind spots.
AI Teammates
L1/L2 triage handled autonomously with Slack/email summaries. Queue settled. After-hours coverage achieved.
Contextual Risk Prioritisation
Risk Engine combined context and threat intel to create ranked fix-first list. Reduced false positives and manual review.
Holistic Security Management View
Unified Command Board visualized posture, compliance, and CVE heat maps in one place.
AI-Enabled Case Management
Autoplaybooks applied per incident type. Approval-based. Resulted in ~75% faster triage.
Mindy — Conversational AI Assistant
Analysts asked questions in plain English. Mindy returned actions and summaries — without dashboard switching.
Attack-Surface Map & External Scan
Live visualization revealed misconfigurations and lateral movement paths.
No-Code Workflow Automation
Drag-and-drop workflows replaced brittle scripts. Produced immutable audit trails.
Unified Knowledge Graph
Created a shared, real-time memory of all assets, vulnerabilities, and ownership.
Security Architecture + AI Transparency
Built-in audit ledger and E2E encryption ensured regulatory confidence and internal trust.
Outcomes
176 hrs
analyst hours/month saved (62% reduction in CMDB workload)
2,000+
hours saved annually
70%
faster MTTD, ~50% faster MTTR
Real-time
Discovery cycles reduced from months to near real-time
Before vs After Comparison
Metric | Before Secure.com | After Secure.com | Improvement |
|---|---|---|---|
Monthly Manual Hours | 1,039.5 hrs | 200 hrs | -80.76% |
MTTD | Up to 3 months | Near real-time | Significant |
Asset Visibility | Fragmented | Unified | Complete coverage |
"Secure.com fundamentally changed how we operate. We went from firefighting daily to running a proactive, always-on security program — without adding a single headcount."
Security Manager, Mid-Market SaaS Company
