RCCE Course
Course #1079

Data Security Posture Management (DSPM)

📊 Level: Intermediate
⏱️ Duration: 2 Days
🏷️ Track: Cloud Security
📋 Prerequisites: Cloud foundations
🖥️ Mode: Online Instructor-Led
📝 Course Description

RCCE students will learn how to discover sensitive data stores, classify cloud-resident information, identify overexposed repositories, and reduce data risk across SaaS, IaaS, and platform services. RCCE students will learn to map sensitive data to business context, detect risky sharing patterns, identify public exposure, reduce sprawl, and prioritize data protection fixes based on actual exposure and value. The course covers practical scenarios ranging from data discovery and classification to access review, remediation, and reporting. RCCE students will learn to analyze complex systems and think like an attacker to better defend the organization. This comprehensive course delivers practical knowledge applicable to real-world cybersecurity operations. Starting from foundational concepts, RCCE students will learn through a combination of concept explanation, practical demonstration, and hands-on exercises.

🎯 Target Audience
  • Cloud Security Architects and Engineers
  • DevSecOps and Platform Engineers
  • Identity and Access Management Specialists
  • Security Analysts securing cloud workloads
  • Professionals implementing Data Security Posture Management (DSPM)
🧠 What You Will Learn
  • Execute hands-on tasks for data security posture management
  • Explain Course Overview fundamentals
  • Execute hands-on tasks for what you will learn
  • Execute hands-on tasks for how you will learn
  • Execute hands-on tasks for who this is for — covering Discover sensitive data.
  • Execute hands-on tasks for what is data security posture management?
  • Execute hands-on tasks for the data explosion problem — covering Cloud migration scattered data across hundreds of services.
  • Execute hands-on tasks for the cloud data landscape — covering Microsoft 365 (SharePoint,.
  • Execute hands-on tasks for paas data stores — covering Microsoft 365 (SharePoint,.
  • Execute hands-on tasks for key insight — covering Average enterprise has 400+ cloud data stores.
  • Execute hands-on tasks for data discovery fundamentals
  • Execute hands-on tasks for enumerate data
📚 Course Outline
Module 01Data Security Posture Management
Module 02Course Overview
Module 03What You Will Learn
Module 04How You Will Learn
Module 05Who This Is For
Module 06What Is Data Security Posture Management?
Module 07The Data Explosion Problem
Module 08The Cloud Data Landscape
Module 09PaaS Data Stores
Module 10Key Insight
Module 11Data Discovery Fundamentals
Module 12Enumerate Data
Module 13Sample & Scan
Module 14What Gets Discovered
🧪 Lab Details

All hands-on labs run on Rocheston Rose X OS. Students practice data security posture management (dspm) by implementing the controls discussed in class, with a focus on real-world deployment, monitoring, and validation.

  • Lab 1: Execute hands-on tasks for data security posture management
  • Lab 2: Explain Course Overview fundamentals
  • Lab 3: Execute hands-on tasks for what you will learn
  • Lab 4: Execute hands-on tasks for how you will learn
  • Lab 5: Execute hands-on tasks for who this is for
📊 Skill Level
Intermediate
Beginner Intermediate Advanced Expert
Duration
2 Days
🎓
Certificate
Completion
🖥️
Lab Platform
Rose X OS
👨‍🏫
Mode of Training
Online Instructor-Led
🔥
Platform
Zelfire
🐦‍⬛
Cyber Range
Raven
📓
Study Material
CyberNotes
🏆 Certificate

Upon successful completion of this course, students will receive an official RCCE Course Completion Certificate for Data Security Posture Management (DSPM), verifiable through the Rocheston certification portal.

🔑 Student Access & Materials
  • Full access to all course materials and slide decks
  • Hands-on lab access on Rocheston Rose X OS environment
  • Access to Rocheston CyberNotes
  • Access to Rocheston Zelfire — EDR/XDR SIEM platform
  • Access to Rocheston Raven — online cyber range exercise platform
  • Access to Rocheston Vulnerability Vines AI