Zero-Trust Approach to Memory forensics
RCCE students will learn volatile memory acquisition and analysis including RAM capture techniques, process enumeration, network connection analysis, code injection detection, rootkit discovery, and malware artifact extraction from memory. RCCE students will learn to use memory forensics tools to acquire memory images from live systems, analyze process trees for suspicious parent-child relationships, detect hidden and injected processes, extract encryption keys and credentials from memory, identify command and control communications, reconstruct attacker activity from memory artifacts, and integrate memory forensics findings into broader incident investigation timelines. This zero-trust course applies modern security principles including least privilege, continuous verification, and explicit trust evaluation. At an expert level, RCCE students will learn to implement zero-trust architectures that assume breach and verify every access request regardless of network location. Students build practical zero-trust implementations that align with organizational security modernization goals.
- Security Engineers building defensive controls
- Security Analysts and Blue Team members
- Systems Administrators with security responsibilities
- GRC and Risk Professionals supporting controls
- Professionals implementing Zero-Trust Approach to Memory forensics
- Apply zero-trust principles to privilege decisions and elevation
- Execute hands-on tasks for memory forensics
- Explain Course Overview fundamentals
- Execute hands-on tasks for what you will master — covering Volatile memory acquisition & analysis, Process enumeration & tree analysis.
- Execute hands-on tasks for course delivery — covering 7 modules covering DFIR foundations, Hands-on labs with live memory images.
- Apply zero-trust principles to privilege decisions and elevation, including Assume breach methodology, and Continuous verification of every artifact.
- Execute hands-on tasks for memory forensics fundamentals
- Execute hands-on tasks for what is memory forensics? — covering Analysis of volatile RAM contents, Zero-Trust Principle Applied, Never assume memory contents are benign.
- Apply zero-trust principles to privilege decisions and elevation, including Never assume memory contents are benign, and Verify every process, module, and connection independently.
- Execute hands-on tasks for why volatile memory matters — covering Running processes and loaded DLLs.
- Execute hands-on tasks for running processes
- Execute hands-on tasks for network sockets
| Module 01 | Zero-Trust Approach to |
| Module 02 | Memory Forensics |
| Module 03 | Course Overview |
| Module 04 | What You Will Master |
| Module 05 | Course Delivery |
| Module 06 | Zero-Trust Integration |
| Module 07 | Memory Forensics Fundamentals |
| Module 08 | What Is Memory Forensics? |
| Module 09 | Zero-Trust Principle Applied |
| Module 10 | Why Volatile Memory Matters |
| Module 11 | Running Processes |
| Module 12 | Network Sockets |
| Module 13 | Registry Hives |
| Module 14 | What Lives in Volatile Memory |
All hands-on labs run on Rocheston Rose X OS. Students practice zero-trust approach to memory forensics by implementing the controls discussed in class, with a focus on real-world deployment, monitoring, and validation.
- Lab 1: Apply zero-trust principles to privilege decisions and elevation
- Lab 2: Execute hands-on tasks for memory forensics
- Lab 3: Explain Course Overview fundamentals
- Lab 4: Execute hands-on tasks for what you will master
- Lab 5: Execute hands-on tasks for course delivery
Upon successful completion of this course, students will receive an official RCCE Course Completion Certificate for Zero-Trust Approach to Memory forensics, verifiable through the Rocheston certification portal.
- 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