AI & Emerging Tech Programs

MCube Secure – Guardians of Your Cyber World

AI & Emerging Tech Programs

Artificial Intelligence is reshaping the cybersecurity landscape, introducing both new opportunities and unprecedented risks. Our AI & Emerging Tech Programs are designed to help professionals harness the power of AI for defense while understanding and mitigating AI-driven threats. These advanced courses focus on the intersection of AI, cybersecurity, and emerging attack vectors, preparing you to lead in this evolving domain.

AI Shield Practitioner’s Program

The threat landscape has evolved — so must our defenses. AI Shield Practitioner’s Program is your entry into the world of defending against intelligent cyber adversaries. Explore how threat actors use GenAI, deepfakes, and neural networks to bypass security. Learn to build AI-powered defenses that detect, adapt, and counter advanced threats. Analyze AI-generated phishing, automated malware, and synthetic identity fraud. Understand the ethical boundaries of AI in cybersecurity. Train with real-world scenarios where AI is both weapon and shield. Get hands-on with AI-based SIEMs, anomaly detection, and threat modelling. This program is where cybersecurity meets machine learning. Become the practitioner who secures tomorrow — today.

Who Should Attend

Cybersecurity professionals looking to upskill in AI defense
SOC analysts, threat hunters, and incident responders
AI/ML engineers exploring secure AI development
Red and Blue team members encountering AI-enabled threats
Compliance and risk teams evaluating AI-based security tools

What You Will Learn

AI & ML fundamentals for cybersecurity professionals
GenAI-enabled threats: deepfake, AI phishing, LLM abuse
AI for threat detection, behavioral analysis, and anomaly identification
Defensive AI tools and secure AI system architecture
Regulatory and ethical considerations in AI security
Real-world case studies of AI-powered attacks and defenses

Key Takeaways

Confidence in identifying and defending against AI-enabled attacks
Practical skills using AI tools in threat analysis and detection
Understanding of how to audit and secure AI models
Awareness of responsible AI use in cybersecurity
Certificate of completion to boost your cybersecurity profile

NeuroGuard AI Security Program

Artificial Intelligence is not just creating — it’s under attack. NeuroGuard AI Security equips you to secure the very brain of modern systems. Explore how neural networks can be manipulated, poisoned, or reverse-engineered. Learn how threat actors exploit LLMs, vision models, and decision-making algorithms. Design defenses against adversarial AI, model evasion, and data leakage. Dive deep into prompt injection, jailbreaks, and model hallucination control. Gain tactical knowledge of how to secure AI pipelines from training to deployment. Train in simulations where AI models are both asset and attack vector. The future of cybersecurity lies in understanding how machines think. NeuroGuard AI Security makes you the protector of tomorrow’s digital mind.

Who Should Attend

AI Security Engineers and ML Practitioners
Cybersecurity professionals securing AI-powered platforms
Researchers working on adversarial machine learning
Red/Blue Team members encountering LLM and ML-driven threats
Organizations deploying AI in critical systems (Finance, Healthcare, Defense)

What You Will Learn

Fundamentals of adversarial machine learning and AI attack surfaces
Techniques to secure AI models (NLP, CV, LLMs) from manipulation
Prompt injection, model poisoning, evasion attacks, and data leakage
Security in AI pipelines: training data, inference, deployment
Regulatory considerations and AI security frameworks
Tools and techniques for AI red teaming and model auditing

Key Takeaways

Mastery in identifying and mitigating AI-specific vulnerabilities
Practical knowledge in securing real-world AI/ML/LLM systems
Readiness to conduct AI-focused threat modelling and security testing
Ethical understanding of securing intelligent agents
Certificate of completion to boost your cybersecurity profile

Offensive AI & Adversarial Security Program

AI is no longer just defending — it’s attacking. Welcome to the world where artificial intelligence is a weapon. This program reveals how attackers manipulate, deceive, and break intelligent systems. Learn how to craft adversarial inputs that fool computer vision and LLMs. Explore model evasion, data poisoning, jailbreaks, and prompt injection. Understand the real risks behind autonomous systems, Gen AI, and AI agents. Use offensive tools to simulate, exploit, and test the limits of machine learning. Train like a digital black hat — think like them to defeat them. This is bleeding-edge cybersecurity, where ethics and tactics intersect. If you can break the machine, you can also secure it — that’s power.

Who Should Attend

Advanced Red Teamers and AI Security Researchers
Offensive Security Professionals working in AI-driven threat landscapes
ML Engineers curious about how their models can be attacked
Cybersecurity consultants for GenAI & LLM security
Organizations deploying AI/ML and needing adversarial testing capabilities

What You Will Learn

Adversarial machine learning theory and offensive attack strategies
Prompt injection, jailbreaking, data poisoning, and evasion attacks
Bypassing NLP and CV-based AI security systems
Offensive AI tools: TextAttack, Foolbox, ART, and Red Teaming platforms
Crafting stealthy adversarial inputs for CV and LLM models
Simulating AI misuse scenarios (deepfake injection, GenAI spam, and hallucination abuse)

Key Takeaways

Ability to identify and exploit vulnerabilities in AI systems
Real-world exposure to black-box and white-box model attacks
Deep understanding of how offensive AI tactics threaten critical sectors
Hands-on practice with cutting-edge tools used in AI red teaming
Certificate of completion to boost your cybersecurity profile

Corporate Training

Beginner to Intermediate Programs

Advanced & Specialist Programs