RCCE Course
Course #1064

Bug Bounty Program Design and Operations

📊 Level: Advanced
⏱️ Duration: 2 Days
🏷️ Track: AppSec
📋 Prerequisites: AppSec
🖥️ Mode: Online Instructor-Led
📝 Course Description

RCCE students will learn how to structure internal and public bug bounty programs that balance researcher participation, legal safety, triage quality, reward logic, and engineering remediation capacity. RCCE students will learn to scope assets, define reward tiers, handle duplicates and invalid reports, reduce operational noise, and convert bounty findings into measurable security improvements across the product portfolio. The course covers practical scenarios ranging from program launch to sustained operation, reporting metrics, and governance. 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
  • Security Engineers building defensive controls
  • Security Analysts and Blue Team members
  • Systems Administrators with security responsibilities
  • GRC and Risk Professionals supporting controls
  • Professionals implementing Bug Bounty Program Design and Operations
🧠 What You Will Learn
  • Execute hands-on tasks for bug bounty program
  • Explain Course Overview fundamentals
  • Design a scalable privilege management architecture with policy and enforcement
  • Execute hands-on tasks for operational excellence
  • Measure attack surface reduction and program effectiveness — covering scalable bounty, Triage at speed without noise, program ROI and.
  • Execute hands-on tasks for integrate with sdl lifecycle — covering Triage at speed without noise.
  • Execute hands-on tasks for learning outcomes — covering Web app security fundamentals.
  • Execute hands-on tasks for the bug bounty landscape
  • Execute hands-on tasks for platform-managed programs
  • Design a scalable privilege management architecture with policy and enforcement, including HackerOne, Bugcrowd, Intigriti.
  • Execute hands-on tasks for researcher pool
  • Execute hands-on tasks for report volume
📚 Course Outline
Module 01Bug Bounty Program
Module 02Course Overview
Module 03Program Architecture
Module 04Operational Excellence
Module 05Governance & Metrics
Module 06Integrate with SDL lifecycle
Module 07Learning Outcomes
Module 08The Bug Bounty Landscape
Module 09Platform-Managed Programs
Module 10Hybrid Models
Module 11Researcher Pool
Module 12Report Volume
Module 13Signal/Noise
Module 14Budget Required
🧪 Lab Details

All hands-on labs run on Rocheston Rose X OS. Students practice bug bounty program design and operations by implementing the controls discussed in class, with a focus on real-world deployment, monitoring, and validation.

  • Lab 1: Execute hands-on tasks for bug bounty program
  • Lab 2: Explain Course Overview fundamentals
  • Lab 3: Design a scalable privilege management architecture with policy and enforcement
  • Lab 4: Execute hands-on tasks for operational excellence
  • Lab 5: Measure attack surface reduction and program effectiveness
📊 Skill Level
Advanced
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 Bug Bounty Program Design and Operations, 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