Campaign tracking Tuning and Optimization
RCCE students will learn threat actor campaign tracking including activity clustering, attribution analysis, infrastructure tracking, and campaign timeline reconstruction. RCCE students will learn to identify and track related threat activity across incidents, cluster threat actor campaigns using technical indicators, behavioral patterns, and targeting profiles, maintain campaign timelines and infrastructure databases, perform attribution analysis using diamond model and other analytic frameworks, produce campaign intelligence reports that inform defensive priorities, share campaign intelligence with trusted partners and ISACs, and update detections based on evolving campaign TTPs. This optimization course focuses on maximizing effectiveness and efficiency in production security operations. Building on core knowledge, RCCE students will learn to reduce noise, improve signal quality, tune configurations for optimal performance, and measure operational improvements. Students gain the operational maturity to transform good security programs into exceptional ones.
- Security Engineers building defensive controls
- Security Analysts and Blue Team members
- Systems Administrators with security responsibilities
- GRC and Risk Professionals supporting controls
- Professionals implementing Campaign tracking Tuning and Optimization
- Execute hands-on tasks for campaign tracking
- Execute hands-on tasks for learning objectives
- Execute hands-on tasks for attribution analysis — covering Apply Diamond Model frameworks, confidence in attribution.
- Design a scalable privilege management architecture with policy and enforcement, including confidence in attribution.
- Execute hands-on tasks for intelligence reporting — covering Produce campaign intelligence reports, Share with ISACs and partners.
- Execute hands-on tasks for operational tuning — covering Reduce noise in detection pipelines, Improve signal-to-noise ratio.
- Execute hands-on tasks for what is campaign tracking?
- Execute hands-on tasks for why it matters — covering Predict future attack vectors.
- Execute hands-on tasks for activity clustering fundamentals
- Execute hands-on tasks for clustering dimensions
- Execute hands-on tasks for clustering workflow — covering Technical indicators (IPs, domains, hashes).
- Execute hands-on tasks for network pivots — covering Passive DNS resolution chains, Shared WHOIS registrant data.
| Module 01 | Campaign Tracking |
| Module 02 | Learning Objectives |
| Module 03 | Attribution Analysis |
| Module 04 | Apply Diamond Model frameworks |
| Module 05 | Intelligence Reporting |
| Module 06 | Operational Tuning |
| Module 07 | What Is Campaign Tracking? |
| Module 08 | Why It Matters |
| Module 09 | Activity Clustering Fundamentals |
| Module 10 | Clustering Dimensions |
| Module 11 | Clustering Workflow |
| Module 12 | Network Pivots |
| Module 13 | Passive DNS resolution chains |
| Module 14 | Infrastructure Pivots |
All hands-on labs run on Rocheston Rose X OS. Students practice campaign tracking tuning and optimization by implementing the controls discussed in class, with a focus on real-world deployment, monitoring, and validation.
- Lab 1: Execute hands-on tasks for campaign tracking
- Lab 2: Execute hands-on tasks for learning objectives
- Lab 3: Execute hands-on tasks for attribution analysis
- Lab 4: Design a scalable privilege management architecture with policy and enforcement
- Lab 5: Execute hands-on tasks for intelligence reporting
Upon successful completion of this course, students will receive an official RCCE Course Completion Certificate for Campaign tracking Tuning and Optimization, 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