Certified Electromagnetic Spectrum Operations Red Team Operator (CEMSO-RTO)

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Certified Electromagnetic Spectrum Operations Red Team Operator (CEMSO-RTO)

Operational AI Red Teaming for EMSO: Electronic Warfare (EW), SIGINT, and ISR Security

Duration: 2 Days
Certification: Certified Electromagnetic Spectrum Operations Red Team Operator (CEMSO-RTO)
Level: Advanced
Delivery: Instructor-led (Virtual or In-Person)
Target Audience: DoD EW specialists, SIGINT analysts, ISR operators, spectrum warfare professionals, cybersecurity red teamers, and defense contractors
Prerequisites: Background in cybersecurity, electronic warfare, SIGINT, or AI-based ISR is recommended. Familiarity with software-defined radio (SDR), spectrum analysis, and adversarial machine learning is beneficial but not required.

 

The CEMSO-RTO certification is designed for military and defense professionals to master offensive and defensive red teaming techniques within the electromagnetic spectrum (EMS), including Electronic Warfare (EW), Signals Intelligence (SIGINT), and Intelligence, Surveillance, and Reconnaissance (ISR).

This course focuses on operational EMSO, integrating AI-driven SIGINT exploitation, spectrum warfare deception, RF-based cyber-attacks, and ISR countermeasures into a structured red teaming framework. Participants will conduct adversarial tests, learning to identify vulnerabilities, exploit EMSO attack surfaces, and implement countermeasures for securing AI-driven spectrum operations.

Learning Objectives

By the end of this certification program, participants will be able to:

  • Understand EMSO & AI Red Teaming in Multi-Domain Operations (MDO): Learn how AI, SIGINT, ISR, and EW converge in modern warfare.
  • Identify RF & AI-Based Threat Vectors: Recognize key adversarial EW tactics, SIGINT exploitation techniques, and ISR vulnerabilities.
  • Execute Spectrum-Based Attacks on Military ISR & SIGINT Systems: Apply electronic attack (EA), AI-based signal manipulation, and spectrum deception against AI-driven battlefield intelligence platforms.
  • Red Team AI-Enabled EMSO Platforms: Conduct adversarial testing of AI-powered ISR drones, radar-based tracking, and spectrum-based reconnaissance.
  • Develop Countermeasures for EMSO Security: Implement AI adversarial defenses, EW resilience strategies, and secure ISR network architectures.

Key Takeaways

  • Master AI-driven EW, SIGINT, and ISR red teaming tactics
  • Conduct RF spectrum exploitation and adversarial machine learning attacks
  • Perform red teaming of AI-powered SIGINT & ISR platforms
  • Defend against AI-enhanced electronic warfare & spectrum manipulation

Program Curriculum

Part 1: Foundations of EMSO Red Teaming

Module 1: Introduction to EMSO & AI-Driven Spectrum Warfare

  • Overview of DoD EMSO & Red Teaming Methodologies
  • Integration of EW, SIGINT, and AI-powered ISR in multi-domain operations (MDO)
  • Threat landscape: Nation-state adversaries, AI-enabled spectrum attacks, ISR deception tactics
  • Case Study: AI-driven ISR deception & adversarial SIGINT tactics in modern conflicts

Module 2: Electronic Warfare (EW) Fundamentals & Adversarial Testing

  • Electronic attack (EA) & RF-based deception techniques
  • AI-enhanced EW: Using machine learning for RF pattern analysis & jamming optimization
  • Case Study: Deploying AI-assisted RF jamming against ISR & SIGINT platforms

Module 3: AI-Driven SIGINT Exploitation

  • Deep learning for signal recognition & interception
  • Exploiting AI-powered spectrum monitoring systems
  • Case Study: AI-powered SIGINT attack to intercept encrypted military RF signals

Module 4: ISR Vulnerabilities & Spectrum-Based Adversarial Attacks

  • AI-based ISR deception & spoofing attacks
  • Deepfake radio signals & adversarial ISR manipulation
  • Case Study: Fooling an AI-powered ISR system using adversarial RF techniques

Part 2: Advanced AI Red Teaming for EMSO

Module 5: RF & AI-Driven Jamming Attacks

  • Automated AI-powered jamming against enemy SIGINT & ISR platforms
  • Deploying RF-based cyber-physical attacks against ISR UAVs
  • Case Study: AI-assisted RF jamming against ISR drone communication links

Module 6: Model Poisoning & AI Red Teaming for EMSO

  • Data poisoning attacks against AI-driven SIGINT & ISR platforms
  • Backdooring AI models for adversarial ISR deception
  • Case Study: Injecting adversarial perturbations into an AI-based SIGINT classification system

Module 7: Adversarial Attacks on Autonomous ISR & SIGINT Platforms

  • Exploiting AI-based autonomous ISR systems (satellites, UAVs, ground sensors)
  • Manipulating reinforcement learning-based AI decision-making in ISR
  • Case Study: Conducting a red team attack on an AI-powered ISR drone’s sensor fusion system

Module 8: GPS & Spectrum-Based ISR Exploitation

  • GPS spoofing & AI-driven ISR misdirection attacks
  • AI-powered ELINT for autonomous reconnaissance & tracking
  • Case Study: Simulating a GPS spoofing attack on an AI-driven reconnaissance drone

Part 3: Defending AI-Driven EMSO Systems

Module 9: AI Security & Adversarial Resilience

  • Adversarial training & AI robustness testing for ISR systems
  • Zero-trust AI architectures for SIGINT & EW
  • Red Team AI assessment frameworks for DoD compliance
  • Case Study: Implementing adversarial AI defenses against EW, SIGINT, and ISR attacks

Module 10: Spectrum Cybersecurity & AI Countermeasures

  • AI-enabled spectrum monitoring for RF anomaly detection
  • Automated EW and SIGINT countermeasure deployment
  • Case Study: AI-powered counter-EW measures in Ukrainian-Russian conflicts

Final Red Teaming Exercise

  • Live AI-Driven Red Team Attack Simulation: Participants execute a multi-layered attack on an AI-enabled EMSO system, documenting vulnerabilities and proposing mitigation strategies.

Certification Exam Details

  • Exam Format:
    • 60-question multiple-choice test (40%)
    • Red Teaming Analysis and Report Submission (60%)
  • Passing Score: 80%
  • Exam Domains:
    • Domain 1: Principles of EMSO & AI Red Teaming (15%)
    • Domain 2: AI-Driven SIGINT & Spectrum-Based ISR Attacks (25%)
    • Domain 3: Adversarial EW & RF Exploitation Techniques (30%)
    • Domain 4: Defensive Countermeasures & AI-Enabled Spectrum Resilience (30%)

Final Exam & Certification

  • Final Red Teaming Exercise: Participants conduct an AI-powered attack simulation against a military SIGINT or ISR system, documenting their findings.
  • Certification Assessment:
    • 60-question multiple-choice exam on AI red teaming, EW tactics, and SIGINT operations.
    • Red Team Report Submission: Participants document their adversarial testing results and recommendations.
  • Successful candidates receive the  Certified Electromagnetic Spectrum Operations Red Team Operator (CEMSO-RTO) certification.

Customization for Specific DoD Agencies

This course can be tailored to specific DoD agencies, including:

  • U.S. Cyber Command (USCYBERCOM): Cyber-electromagnetic spectrum (CEM) operations
  • National Reconnaissance Office (NRO): AI red teaming for satellite ISR systems
  • Special Operations Command (SOCOM): Tactical EW, SIGINT, and AI deception
  • DARPA: Advanced AI-powered electronic warfare research
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