Rocheston Certified Cybersecurity Engineer (RCCE) Level 3

RCCE Level 1 builds broad security knowledge, and RCCE Level 2 turns it into structured penetration testing and Red and Blue Team practice. The question many graduates then ask is how to work at enterprise scale, where environments change daily, and attackers increasingly use automation and AI. RCCE Level 3 training answers it. The Rocheston Certified Cybersecurity Engineer (RCCE) Level 3 course is a five-day programme in AI-driven attack surface management, automated penetration testing, autonomous cyber defence, threat hunting and security engineering.

The biggest change at this level is scale and automation. Instead of testing individual machines, learners work across one connected enterprise environment. They map the full attack surface, use AI-assisted discovery and automated penetration testing against assigned training targets, and then defend the same environment with attack surface reduction, zero-trust verification and cloud remediation.

Investigation and engineering complete the picture. Learners hunt threats across enterprise logs and reconstruct incidents, including the role of AI systems. They then write security automation in ZelC, an agentic AI programming language for scoped security workflows, and secure the software release process with code scanning and release gates. The final day is a full mission against a simulated company, Northstar Supply, that ends with an executive briefing and a technical review.

All labs run in a browser on Rocheston’s Zelfire cloud platform. AINA provides the AI layer and runs automated attacks against training targets only. The lasting benefit is a shift in how engineers work. Graduates move from doing each security task by hand to designing systems that find, test, defend, and respond consistently. Related programmes are listed on our Rocheston training portfolio page.

Course Structure and Key Details

RCCE Level 3 is a five-day course with 40 scheduled training hours, arranged in four two-hour blocks each day. On the first four days, each block pairs a 105-minute lab with a 15-minute briefing or review, making 16 labs in total. The fifth day is one integrated mission run across four 120-minute blocks.

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, is the Northstar Supply mission, with discovery, detection, containment, recovery, and a final demonstration.

The labs use 20 core Zelfire platforms, including ZelMap, ZelExploits, ZelTester, ZelKill, ZelXDR, ZelSOAR, ZelCloud, ZelAccess, ZelZero-Trust, ZelCode and ZelC. Supporting tools include Vulnerability Vines AI, Noodles, and the Rocheston Cybersecurity Framework. The capstone includes a five-minute executive briefing, a ten-minute technical review, a signed practical-work portfolio with a verification manifest, and a Noodles Plan of Action and Milestones.

Before enrolling, note that Rocheston recommends RCCE Level 2 or equivalent practical experience. Learners do not need prior Zelfire or ZelC experience. They should, however, be familiar with networking, Linux and Windows administration, web applications and APIs, basic cloud and identity concepts, security log investigation, and simple scripting.

Rocheston states that the RCCE Level 3 Certification is awarded upon completing the five-day course, which ends with a practical capstone and technical review. No separate written exam is described. The course is delivered through a browser on the Zelfire cloud platform. Our Addis Ababa team can confirm the delivery format, dates, and included access for each offering.

Course Objectives

• Apply RCCE Level 1 and Level 2 skills across a full, connected enterprise environment.
• Map and monitor an enterprise attack surface continuously.
• Use AI-assisted discovery and automated penetration testing within an authorised scope.
• Defend the enterprise through attack surface reduction, zero trust and cloud remediation.
• Investigate threats and reconstruct incidents with supporting evidence.
• Build security automation with the ZelC agentic AI programming language.
• Secure software delivery with scanning, secrets detection, and release gates.
• Demonstrate results in an executive briefing and a technical review.