RCU is the world's first plug-and-play educational ecosystem, empowering universities to launch world-class cybersecurity degrees instantly. We provide the living curriculum, military-grade labs, and DoD-approved certifications at zero cost to partner institutions. We don't just help you graduate students; we help you deploy defenders. RCU integrates the ANAB-accredited and DoD 8140-approved RCCE certification directly into your degree tracks, giving your graduates a passport to the world's most elite defense and federal jobs.
A unified security operations platform combining Firewall, XDR, SOAR, and Incident Response in one console. Correlates signals into real incidents, then executes containment fast—block traffic, isolate endpoints, revoke access, and quarantine threats with a single, evidence-backed timeline.
ZelCloud is an AI-native multi-cloud security platform in the Rocheston Zelfire suite, powered by AINA to discover assets, expose attack paths, prioritize real risk.
ZelMap is an AINA-powered Attack Surface Intelligence Platform that discovers every asset across cloud, software, and identities, then maps exposure and delivers explainable risk scoring with a fix-first priority list.
ZelRank is an AINA-powered cyberthreat intelligence platform that correlates external and internal signals, then ranks threats by real-world relevance and impact so teams can respond to the most dangerous cyberthreats first.
Rocheston ZelKill is an AINA-powered threat hunting platform that ingests logs from any environment, correlates attacks with visual intelligence, and delivers evidence-linked investigations with controlled response actions.
A unified global control architecture—implement once, comply everywhere—backed by evidence, automation, and continuous verification.
The evidence-first compliance platform—collect, organize, and prove security controls with dashboards, reports, and audit-ready timelines.
The secure, agentic AI browser for operations—designed for verification workflows, controlled execution, and high-trust navigation across systems.
The cybersecurity-native programming language for the agentic era—express security intent as code, enforce guardrails, and generate verifiable evidence by default.
Rocheston Zellari Hospital is a full-fledged, 100% AI-powered virtual hospital where AINA doctors and nurses diagnose, guides treatment.
A dedicated cybersecurity training operating system built for hands-on learning. It’s designed to feel like a real practitioner workstation, with the right tools and workflows already in place so students spend time practicing, not installing and troubleshooting. Ideal for labs, guided exercises, and repeatable training environments.
Vepal Velocity is the AI-powered RCCE engine that generates and deploys unlimited cybersecurity training—slides, guides, quizzes, and hands-on labs—instantly on Rose X.
A full cyber range experience for realistic red-team vs blue-team scenarios. Learners can run through real attack chains and defensive response steps in a controlled environment, then review outcomes and improve. Built for practical skills: detection, response, containment, and recovery.
An AI-first operating layer designed to power intelligence, guidance, and automation across the Rocheston ecosystem. It helps turn complex security workflows into step-by-step actions and supports decision-making under pressure. Think of it as the “brains” that makes platforms feel guided, fast, and consistent.
A research and experimentation zone focused on post-quantum security and future-ready cryptography concepts. It’s built for demos, learning, and exploration—showing how next-generation crypto and security models behave. Perfect for deep dives into “what’s next” beyond traditional security assumptions.
A build-and-ship arena where participants move fast and produce working outcomes. Structured challenges push students to create tools, dashboards, scripts, automations, or mini-platforms under time pressure. It rewards execution, creativity, and practical engineering, not theory alone.
A control-based compliance checker designed to make NIST 800-53 more operational and measurable. It helps map evidence to controls, identify gaps, and show what’s missing in a way that’s audit-friendly. The output is structured so teams can take action immediately instead of reading long narratives.
A verification-first blockchain layer for anchoring evidence, credentials, and integrity proofs. It’s built to support “trust without trust”—so results can be validated independently and not just accepted by reputation. Useful for credential validation, evidence integrity, and verifiable outcomes tied to training or assessments.
A smart-contract building and deployment toolkit that emphasizes speed, experimentation, and learning. It’s meant to help users assemble, modify, and deploy on-chain logic without heavy friction. Great for education, prototyping, and rapid blockchain app building.
A cybersecurity awareness platform focused on real behavior change, not boring check-the-box training. It supports practical learning: phishing resistance, password habits, safe browsing, and daily operational discipline. Designed to make “security culture” actually stick through repetition and clarity.
A guided hands-on training environment built around realistic security tasks and RCCE-style exercises. It teaches learners how to investigate incidents, capture evidence, analyze findings, and remediate issues in the correct order. The goal is job-ready skill development through repetition and real workflows.
Rocheston Robin is our secure, video conferencing system that powers RCCE virtual classrooms with live instruction, collaboration, and hands-on learning.
Official digital collectibles connected to Rocheston’s ecosystem identity and milestones. These can represent achievements, event participation, or special membership items tied to the broader community. Built to make digital recognition feel tangible and collectible.
A hiring-grade assessment platform where candidates complete real tasks instead of answering trivia. It produces scored results, structured performance evidence, and verification-friendly reporting that employers can trust. Designed to show capability through execution, not claims.
A gamified cyber learning platform that turns security practice into missions, ranks, challenges, and progression. It keeps students engaged while still forcing real technical actions—solving, investigating, and responding. Built to make skill-building addictive while remaining practical.
An all-in-one vulnerability and security workflow platform designed to power training and operational use cases. It brings scanning, reporting, tracking, and evidence together so users can move from discovery to remediation with less chaos. Built to reduce tool-hopping and make results easier to understand and act on.
An AI-assisted vulnerability scanning and explanation layer for SAST/DAST-style workflows. It’s designed to speed up discovery and reduce confusion by translating findings into clear impact and fix guidance. Ideal for learners and teams who need clarity, prioritization, and faster remediation decisions.
ZelTester is an automated, AI-driven penetration testing platform that continuously discovers, exploits, and reports security threats..
A safe public sandbox where people can explore Rocheston demos without risking production systems. Built for quick experimentation and showing what the ecosystem looks like in action. Perfect for first-time visitors who want to “try before they dive deep.”
AI-driven simulations that recreate modern cyberattacks as scenarios you can practice against. It’s built to teach response thinking: what happened, what to do next, what evidence matters, and how to contain fast. Great for drilling incident timelines and decision-making under pressure.
An incident response and forensics operating environment built for speed and structure. It focuses on triage, evidence capture, investigation flow, containment actions, and clean reporting—so teams don’t waste time assembling tools mid-incident. Designed to feel like an IR “battle OS” that keeps actions organized.
A shared reward and progression layer across the ecosystem—points, badges, ranks, and leaderboards. It’s designed to keep motivation high while reinforcing real activity: completing labs, finishing challenges, and improving performance. Makes learning measurable and competitive in a healthy way.
A breach simulation system powered by AINA that walks users through full incident stories end-to-end. It trains how to interpret alerts, investigate quickly, choose containment actions, and produce evidence-grade outcomes. Built for repeat practice so response becomes fast, calm, and consistent.
A living cybersecurity library of 1,000+ AI-maintained programs that updates monthly. Stop paying for static content and start mastering the threat landscape in real-time.
Modern cybersecurity tools built by Rocheston exclusively for RCCE students — hands-on defense and real-world execution.
Rocheston Bento is an AI-enabled, web-based threat modelling studio that lets you generate and drag-and-drop diagrams, and save professional models in minutes.
Rocheston Wasabi is a zero-knowledge, end-to-end encrypted message delivery system.
RCCE training is built on Rocheston’s high‑tech cybersecurity stack—Rose X cyber OS, Cyber Range Sphere, Zelfire XDR/SOAR, Vulnerability Vines, ZelTester, ZombieCop attack simulations, AINA OS, and more—so engineers live inside the same AI‑driven SOC environments, red‑team/blue‑team ranges, threat‑intel pipelines, and incident‑response workflows that modern enterprises actually run.
With 95–99% hands‑on labs delivered through cloud cyber ranges, enterprise‑grade playbooks, and automation‑first tools, RCCE is positioned as one of the most advanced, practically focused cybersecurity training ecosystems in the world, producing engineers who think in ATT&CK, ship detections as code, and can prove real coverage on day one.