Rocheston Certified Cybersecurity Engineer (RCCE) Level 3

Enterprise environments now change faster than manual security processes can follow. New cloud services, APIs, identities, and AI-enabled applications appear every week, and attackers increasingly use automation and AI to find the gaps between them. RCCE Level 3 training prepares experienced practitioners to work at that speed. 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 course is built around one connected enterprise environment, accessed through a browser on Rocheston’s cloud-based Zelfire platform. Learners begin by mapping the attack surface and using AI-assisted vulnerability discovery and automated penetration testing against assigned training targets, including an AI-enabled enterprise. They then switch to defence, reducing the attack surface, applying continuous zero-trust verification, and remediating cloud risk.

The second half of the week goes deeper. Learners hunt threats across enterprise logs, reconstruct incidents including their AI context and coordinate the response. They also automate security work with ZelC, an agentic AI programming language for scoped security workflows, and secure software releases. The final day is a full mission against a simulated company, Northstar Supply, covering discovery, detection, containment, and recovery.

AINA, Rocheston’s AI component, runs automated attacks against the training targets throughout. Every activity is authorised and stays inside the lab environment. For enterprise security teams, the value is scale. Engineers learn to use automation and AI to find exposure faster, defend more consistently, and hand leadership clear, evidence-backed reports. Explore related programmes on our Rocheston cybersecurity courses page.

Course Structure and Key Details

RCCE Level 3 runs over five days and 40 scheduled training hours, organised into four two-hour blocks each day. From Day 1 to Day 4, each block combines a 105-minute lab with a 15-minute briefing or review. Day 5 is made up of four 120-minute mission blocks.

Each day has a clear theme. 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, onion-service 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, taking learners through discovery, detection, containment, and recovery to a final demonstration.

The course uses 20 core Zelfire platforms, among them ZelMap for asset discovery, ZelExploits for automated penetration testing, ZelKill for threat hunting, ZelXDR for detection and investigation, ZelSOAR for response orchestration, ZelCloud for multi-cloud risk, and ZelCode for secure software release. Supporting tools include Vulnerability Vines AI, Noodles, and the Rocheston Cybersecurity Framework, and AINA provides the AI layer throughout the course. The capstone includes a five-minute executive briefing, a ten-minute technical review, a signed practical-work portfolio, and a Noodles Plan of Action and Milestones.

Rocheston recommends RCCE Level 2 or equivalent practical experience before joining. Prior Zelfire or ZelC experience is not required. Learners should be comfortable with networking, Linux and Windows administration, web applications and APIs, basic cloud and identity concepts, security log investigation, and simple scripting.

According to Rocheston, 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. Training takes place in a browser on the Zelfire cloud platform. Delivery format, dates, and included platform access are confirmed for each course offering, so our team can confirm the arrangements for your batch in Saudi Arabia.

Course Objectives

By the end of the course, learners will be able to:

• Map an enterprise attack surface and discover vulnerabilities with AI-assisted tools in an authorised environment.
• Run automated penetration tests against assigned training targets and validate the findings.
• Reduce exposure through attack surface reduction, zero-trust verification, and cloud risk remediation.
• Hunt threats across enterprise logs and reconstruct incidents, including AI-related context.
• Coordinate response and preserve evidence during an active incident.
• Automate security workflows with ZelC and compare exposure over time.
• Secure software releases with code scanning, secrets detection, and release gates.
• Lead a full enterprise mission and brief executives and technical reviewers on the outcome.