Certified Robotics Cybersecurity Specialist (CRCS) Certification Program by Tonex
The Certified Robotics Cybersecurity Specialist program equips professionals to secure connected robots across factories, healthcare, logistics, and defense. You will learn to analyze cyber-physical risks, harden hardware and firmware, and architect resilient networks for autonomous and semi-autonomous systems.
This program highlights how cybersecurity preserves safety, uptime, and trust in robotic operations. Strong cybersecurity reduces the likelihood of manipulation, sabotage, and privacy breaches while meeting regulatory expectations. Effective cybersecurity enables scalable deployment of robots that withstand modern threat tactics without sacrificing performance.
Learning Objectives
- Identify cyber-physical vulnerabilities across sensors, actuators, and control loops
- Detect and mitigate AI model and sensor spoofing threats
- Design secure robotics network and segmentation strategies
- Apply hardware and firmware hardening techniques and secure boot
- Execute AI red team methods and interpret findings for remediation
- Build incident response playbooks tailored to robotic systems
- Explain the business and safety impact of strong cybersecurity in robotics
Audience
- Cybersecurity Professionals
- Robotics security engineers
- Red teamers and penetration testers
- Cybersecurity analysts and SOC engineers
- OT and ICS security practitioners
- Embedded and firmware engineers
- Compliance and risk managers
Course Modules
Module 1: Robotics Threat Landscape
- Mapping assets and trust boundaries in robotic stacks
- Attack surfaces in controllers sensors actuators and middleware
- Supply chain and third-party component risks
- Safety integrity and threat modeling alignment
- Adversary tactics techniques and procedures for robots
- Risk scoring prioritization and remediation planning
Module 2: Sensor and AI Attacks
- Spoofing and jamming of lidar radar vision and GNSS
- Adversarial examples and data poisoning against perception models
- Robust sensing fusion and anomaly detection strategies
- Dataset governance provenance and validation
- Runtime model monitoring drift and failure handling
- Benchmarking defenses and reporting measurable residual risk
Module 3: Secure Network Design
- Segmentation zones conduits and zero trust patterns
- AuthN authZ certificate management and device identity
- Secure ROS DDS and message bus hardening
- Protocol security for OPC UA MQTT and TSN
- Remote access and update pathways with least privilege
- Telemetry logging and secure time synchronization
Module 4: Firmware and Hardware Hardening
- Secure boot chain of trust and key protection
- Memory safety mitigations and exploit resistance
- Secure update rollback recovery and SBOM usage
- Debug interface lockdown and tamper resistance
- Cryptography choices performance and lifecycle keys
- Compliance mapping to IEC 62443 ISO 21434 and NIST guidance
Module 5: AI Red Teaming Basics
- Threat hypotheses and test plan design for autonomy
- Safety constraint testing goal hijacking and reward hacking
- Prompt and policy bypass risks for agentic controllers
- Fault injection chaos scenarios and boundary testing
- Finding triage severity scoring and fix verification
- Executive readouts metrics and decision support
Module 6: Incident Response in Robotics
- Preparation communications roles and legal coordination
- Detection triage and evidence handling for cyber-physical events
- Containment strategies with safety-first shutdown patterns
- Eradication recovery and post-incident validation
- Forensics across firmware models logs and bus traffic
- Lessons learned and resilience improvements backlog
Exam Domains
- Cyber-Physical Risk Analysis
- Sensing and Perception Security
- Network and Identity Controls
- Firmware and Supply Chain Assurance
- AI Safety and Red Teaming
- Response Forensics and Recovery
Course Delivery
The course is delivered through structured lectures, interactive discussions, guided demonstrations, and case-based exercises led by Tonex experts in the Certified Robotics Cybersecurity Specialist program. Participants gain access to online resources including readings, templates, checklists, and curated tools for practical exercises.
Assessment and Certification
Participants are assessed through quizzes, written assignments, and a capstone case study. Upon successful completion of the course, participants receive the Certified Robotics Cybersecurity Specialist certificate from Tonex.
Question Types
- Multiple Choice Questions (MCQs)
- Scenario-based Questions
Passing Criteria
To pass the Certified Robotics Cybersecurity Specialist Certification Training exam, candidates must achieve a score of 70% or higher.
Advance your career and safeguard autonomous systems. Enroll in the Tonex CRCS Certification Program today and become the specialist your robotics fleet relies on.