Rocheston Certified Cybersecurity Engineer (RCCE) Level 3

Most advanced security training uses separate, isolated exercises. RCCE Level 3 does something different. Every lab takes place in one connected enterprise environment, so what learners discover on the first day shapes what they defend, investigate, and automate later in the week. RCCE Level 3 training is hands-on from start to finish, with 16 labs and a full-day mission. The Rocheston Certified Cybersecurity Engineer (RCCE) Level 3 course covers AI-driven attack surface management, automated penetration testing, autonomous cyber defence, threat hunting and security engineering.

The week follows a natural sequence. On the first day, learners act as an authorised attacker. They map the enterprise attack surface, use AI-assisted vulnerability discovery and run automated penetration tests against assigned training targets. On the second day, they switch sides to reduce that same attack surface, enforce continuous zero-trust verification, remediate cloud risk, and secure service connectivity. The third day is for investigation: hunting threats across enterprise logs, reconstructing incidents and preserving evidence.

The fourth day turns to code. Learners write security automation in ZelC, Rocheston’s agentic AI programming language for scoped security workflows, and secure the software release process. On the fifth day, everything comes together in the Northstar Supply mission, a full cycle of discovery, detection, containment, and recovery that ends with a briefing to executives and a technical review.

All labs run in a browser on Rocheston’s Zelfire cloud platform, with preconfigured virtual machines and AINA running automated attacks against the training targets. The method carries straight into enterprise work: discover continuously, test safely, defend in layers, investigate with evidence and automate what repeats. Rocheston’s wider portfolio is listed on our Rocheston training page.

Course Structure and Key Details

RCCE Level 3 runs over five days and 40 scheduled training hours. Each day has four two-hour blocks. From Day 1 to Day 4, every block pairs a 105-minute lab with a 15-minute briefing or review, giving 16 labs in total. Day 5 replaces the labs with four 120-minute mission blocks.

The days follow an attack-to-operations sequence. Day 1, Attack, covers attack surface mapping, AI-assisted vulnerability discovery, automated penetration testing, and attacks on an AI-enabled enterprise. Day 2, Defend, covers attack surface reduction, continuous zero-trust verification, cloud risk remediation, and secure tunnels and onion services. Day 3, Investigate, covers threat hunting with ZelKill, incident and AI-context reconstruction, evidence preservation, and response coordination. Day 4, Code, covers ZelC security automation, exposure-comparison automation, secure software release, and evidence protection with control assessment. Day 5, Operate, runs the Northstar Supply mission from discovery and detection through containment and recovery to a final demonstration.

Twenty core Zelfire platforms support the labs. They include ZelMap for asset discovery, ZelExploits for automated testing, ZelTester for engagement management and reporting, ZelWall for network segmentation, and ZelAccess for human, service, and agent access control. ZelBreach handles breach simulation and ZelFone mobile review. Supporting tools include Vulnerability Vines AI, Noodles, and the Rocheston Cybersecurity Framework, with AINA as the AI layer across the course.

Rocheston recommends RCCE Level 2 or equivalent practical experience. No prior Zelfire or ZelC experience is needed, but learners should know networking, Linux and Windows administration, web applications and APIs, basic cloud and identity concepts, log investigation, and simple scripting.

Rocheston states that the RCCE Level 3 Certification is awarded on completing the five-day course, which concludes with a practical capstone and technical review. No separate written exam is described. Training is delivered through a browser on the Zelfire cloud platform. Delivery format, dates, and included access are confirmed for each offering, and our Muscat team can confirm the details for your schedule.

Course Objectives

• Discover assets and map an enterprise attack surface continuously in an authorised lab.
• Use AI-assisted tools to find vulnerabilities and run automated penetration tests safely within scope.
• Segment networks and enforce access control for human, service, and AI agent identities.
• Remediate multi-cloud risk and verify that fixes have reduced exposure.
• Hunt threats across enterprise logs and preserve evidence during an investigation.
• Write ZelC automation to repeat security tasks reliably.
• Apply secure release controls, including code scanning and release gates.
• Complete an end-to-end enterprise mission covering discovery, detection, containment, and recovery.