Certified Offensive AI Operations Specialist (COAIS)

Certified Offensive AI Operations Specialist (COAIS) Certification Program by Tonex

Duration: 2Days | Format: Live Virtual / On-site / Hybrid
Level: Advanced – Technical + Strategic
Credential: Certification + Exam + Digital Badge

The COAIS certification prepares professionals to understand, simulate, and execute offensive operations using artificial intelligence in digital, cognitive, and physical domains. It focuses on red-teaming AI/ML models, deploying AI for deception, exploiting generative systems (e.g., LLMs, image models), and using AI in cyberattacks, disinformation, signal spoofing, and autonomous targeting.

This is a high-impact course for cybersecurity professionals, electronic warfare engineers, red teamers, and military cyber operators exploring the weaponization of AI.

Learning Objectives

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

• Understand the offensive applications of AI across cyber, electromagnetic, and information environments.
• Exploit ML vulnerabilities through adversarial inputs, poisoning, and model inversion.
• Use AI models for phishing, fake content, reconnaissance, and targeted manipulation.
• Simulate red-team scenarios involving AI-enabled malware, surveillance, and C2 disruption.
• Deploy AI agents for autonomous payload delivery, signal jamming, and spoofing.
• Evaluate AI threats to LLMs, perception systems (CV/NLP), and autonomous systems.
• Map offensive operations using frameworks like MITRE ATLAS, OWASP LLM Top 10, and AI attack trees.

Target Audience:

• Red teamers and ethical hackers
• AI security professionals
• Military cyber/electronic warfare teams
• Offensive cyber operations (OCO) teams
• Intelligence analysts and mission planners
• AI/ML engineers in defense/security sectors
• CTF participants focused on GenAI and model exploitation

Program Agenda & Modules:

Day 1 – Offensive AI Foundations & Threat Modeling

• Intro to AI attack surfaces: CV, NLP, RL, and LLMs
• Model theft, inversion, evasion, and poisoning
• Deepfakes, synthetic identities, impersonation
• AI red teaming workflows and environments
• MITRE ATLAS, OWASP LLM Top 10, STIX for AI

Offensive Use of Generative AI (LLMs & GANs)

• LLM attacks: prompt injection, context leakage, RAG compromise
• Weaponizing LLMs for phishing, social engineering, and fraud
• Generative media for propaganda, deepfake videos, and fake news
• Red-teaming retrieval-augmented generation (RAG) pipelines
• Adversarial text/image generation (GANs + LLMs)

Day 2 – Offensive AI in Cyber and Cognitive Warfare

• Automated reconnaissance and target profiling
• AI-based malware generation, mutation, and evasion
• AI for denial/disruption (DDoS optimization, logic bombs)
• Disinformation and psychological operations using GenAI
• Counter-AI tactics and AI-enabled deception

Offensive AI in EW, RF & Autonomous Systems

(Optional Advanced)

• Signal spoofing and jamming with AI agents
• Drone swarms and autonomous AI-enabled payload delivery
• Adversarial RF fingerprinting & signal classification attacks
• Perception attacks on computer vision models (e.g., adversarial patches)
• Simulation environments for AI-enabled red team ops (CARLA, AirSim)

Capstone Offensive AI Lab (Scenario-Based Assessment)

• Select a mission track (Cyber, InfoOps, RF, GenAI)
• Create an attack plan using AI agents or model exploits
• Implement and demonstrate effectiveness
• Present findings and mitigations (if part of red team blue team)

Exam Domains: