Skip to main content

Discover · Protect · Investigate

A complete data security lifecycle — one story, three perspectives, nine labs.

~4 Hours🏢 Dataparity Inc. (fictional)🗂 3 Modules · 9 Labs👤 3 Personas🖥 2 Tenants

Lab Objectives

Discover how employees use Shadow IT applications — which apps, which instance (corporate vs. personal), and what sensitive content is flowing through them
Assess SaaS platform security posture, identify overprivileged third-party OAuth apps, and review what's installed on employee endpoints
Map sensitive data at rest across the enterprise using DSPM — SaaS, cloud storage, on-premises, and endpoints
Quantify AI exposure risk before enabling Microsoft Copilot — what would it surface on day one?
Build DLP detection logic using predefined and custom dictionaries combined with boolean engine logic
Apply inline, endpoint, and browser DLP policies to block sensitive data across all three exfiltration channels
Investigate incidents in Zscaler Workflow Automation — triage, notify, escalate, and automate SOC response

Meet the Team

🛡
Alex
Security Administrator

Dataparity's lead security admin. Maps data risk in Module 1, then builds and enforces DLP policies in Module 2.

Module 1 + 2
👤
Kevin
End User · Customer Success

Not malicious — just a busy employee reaching for the most convenient tool. In Module 2 he triggers every policy violation you've configured.

Module 2 (Test Steps)
🔍
Priya
SOC Analyst · Tier-1

Dataparity's incident responder. In Module 3 she picks up Kevin's incidents, triages them, notifies him, and automates future response.

Module 3 (Full Lab)

Lab Tenants

🏢
Enterprise Tenant
Tenant 1 · Read-Only

Pre-populated with realistic production-like data. Shows what a mature deployment looks like after months of collection.

Modules 1 + 3
Lab Tenant
Tenant 2 · Read/Write

A clean environment. Starts with no active DLP policies — you build them from scratch. Changes persist for the session.

Module 2 Only

The Narrative Thread

📊
Payroll_2025.xlsx
The Narrative Thread

A single file that appears in 5 labs across all 3 modules. The payroll file is the deliberate connective tissue of this lab.

Labs 1,4,6,7,9
🎓
Lab Assistant
Zenith Live 2026 · Dataparity
Introduction
Browse all topics