Certified AI Red Team Operator – Autonomous Systems (CAIRTO-AS)

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Certified AI Red Team Operator – Autonomous Systems (CAIRTO-AS)

Operational AI Red Teaming for Autonomous Ground & Aerial Systems

Duration: 2 Days
Certification: Certified AI Red Team Operator – Autonomous Systems (CAIRTO-AS)
Level: Advanced
Delivery: Instructor-led (Virtual or In-Person)
Target Audience: Military AI practitioners, cybersecurity specialists, red teamers, robotics engineers, defense contractors, and intelligence officers
Prerequisites: Basic understanding of AI/ML, cybersecurity, and autonomous systems. Prior experience in red teaming, penetration testing, or electronic warfare (EW) is recommended.

 

The CAIRTO-AS certification is designed to provide DoD and defense industry professionals with expertise in red teaming AI-enabled autonomous ground and aerial systems. This program covers adversarial machine learning (AML), AI system exploitation, electronic warfare (EW) integration, and security evaluation of autonomous military platforms such as UAVs (Unmanned Aerial Vehicles), UGVs (Unmanned Ground Vehicles), and robotic systems.

Through a structured AI red teaming methodology, participants will assess real-world AI vulnerabilities, execute adversarial attacks on autonomous platforms, and develop countermeasures to secure autonomous operations against nation-state threats, cyber-physical exploits, and battlefield deception tactics.

Learning Objectives

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

  • Understand AI Red Teaming for Autonomous Systems: Learn structured red teaming methodologies tailored for AI-driven ground and aerial platforms.
  • Identify AI Vulnerabilities in Military Robotics & Autonomy: Recognize key AI weaknesses, including adversarial perception manipulation, autonomy hijacking, and sensor spoofing attacks.
  • Execute Adversarial Machine Learning (AML) Attacks: Apply real-world adversarial AI techniques to disrupt object detection, navigation, and autonomy decision-making.
  • Assess AI in Multi-Domain Operations (MDO): Conduct operational testing of AI-enabled ISR drones, robotic convoys, and battlefield autonomous assets.
  • Develop Countermeasures for AI Security & Resilience: Implement zero-trust AI architectures, adversarial training, and EW-based AI hardening strategies.

Key Takeaways

  • Master AI attack techniques for UAVs, UGVs, and ISR systems
  • Conduct AI red teaming on autonomous defense platforms
  • Perform adversarial ML attacks against AI-driven robotic systems
  • Defend autonomous AI systems from nation-state threats and cyber-physical attacks

Program Curriculum

Part 1: AI Red Teaming for Autonomous Ground & Aerial Systems

Module 1: Introduction to AI Red Teaming for Military Autonomy

  • AI’s role in DoD robotics, ISR, and autonomous warfare
  • The AI autonomy threat landscape: Nation-state adversaries, battlefield deception, cyber-physical risks
  • Red teaming vs. penetration testing vs. adversarial AI testing
  • Case Study: AI-driven UGV/UAV failures due to adversarial attacks

Module 2: AI Perception Exploitation in Autonomous Systems

  • Object detection manipulation in AI-based ISR drones
  • Computer vision adversarial attacks: Sensor blinding, perception deception, and AI misclassification
  • Case Study: Fooling an AI-powered ISR drone’s object detection system

Module 3: GPS Spoofing & Navigation Exploitation

  • GPS jamming vs. GPS spoofing attacks on AI-enabled autonomous ground & aerial platforms
  • Spoofing AI navigation models to cause autonomy drift & misdirection
  • Case Study: Simulating a GPS spoofing attack against an AI-powered UAV’s navigation system

Module 4: AI-Driven Path Planning & Autonomous Decision Attacks

  • Exploiting AI decision-making in UGVs and UAVs
  • Reinforcement learning-based AI attacks: Policy poisoning and environment perturbation
  • Case Study: Manipulating an AI-powered ground vehicle’s path planning algorithm

Part 2: Advanced AI Red Teaming & Countermeasures

Module 5: Model Poisoning & AI Supply Chain Risks

  • Data poisoning in autonomous DoD AI training datasets
  • AI model backdoor insertion: How adversaries manipulate military AI models
  • Case Study: Injecting backdoors into an AI model used for UAV autonomous flight

Module 6: Electronic Warfare (EW) & AI Red Teaming

  • Electronic warfare attacks on AI-powered autonomy
  • AI vs. EW: How jamming, spoofing, and RF-based attacks disrupt AI-driven operations
  • Case Study: Simulating an RF-based disruption attack on an AI-enabled autonomous drone

Module 7: Model Extraction & AI Theft

  • Stealing AI models used in UAV and UGV applications
  • Membership inference attacks to determine training data exposure
  • Case Study: Extracting an AI navigation model from a black-box UAV system

Module 8: AI Adversarial Attacks in Multi-Domain Operations (MDO)

  • AI deception attacks on ISR, battlefield robotics, and SIGINT drones
  • AI operational testing: Identifying adversarial weaknesses in autonomous operations
  • Case Study: Red teaming an autonomous robotic convoy’s AI-based decision model

Module 9: AI Security & Defense Strategies

  • Adversarial training & AI robustness testing
  • Zero-trust AI architectures for autonomous defense platforms
  • Red team AI assessment frameworks for DoD compliance
  • Case Study: Implementing AI resilience strategies for autonomous ground and aerial systems

Certification Exam Details

  • Exam Format:
    • 50-question multiple-choice test (50%)
    • Red Teaming Analysis and Report Submission (50%)
  • Passing Score: 80%
  • Exam Domains:
    • Domain 1: AI Red Teaming Fundamentals for Autonomous Systems (20%)
    • Domain 2: Adversarial AI Attack Techniques (30%)
    • Domain 3: AI Security Assessment for UAVs & UGVs (30%)
    • Domain 4: AI Defense and Hardening Strategies (20%)

Final Exam & Certification

  • Final Red Teaming Exercise: Participants conduct a live adversarial test against a simulated AI-powered autonomous UAV or UGV system, documenting their findings.
  • Certification Assessment:
    • 50-question multiple-choice exam on AI red teaming concepts, attack methods, and defenses.
  • Successful candidates receive the Certified AI Red Team Operator – Autonomous Systems (CAIRTO-AS) certification.

Customization for Specific DoD Agencies

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

  • U.S. Army Futures Command (AFC): AI red teaming for autonomous ground vehicles & robotic combat systems
  • AFRL (Air Force Research Laboratory): AI security for unmanned aerial combat systems
  • Naval Information Warfare Systems Command (NAVWAR): AI adversarial testing for maritime autonomy and ISR
  • U.S. Special Operations Command (SOCOM): AI deception testing for battlefield ISR & UAV operations
  • DARPA: Advanced AI deception, battlefield manipulation, and AI warfare resilience
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