AI, Cybersecurity & Emerging Digital Threats

The rapid proliferation of Artificial Intelligence (AI), Machine Learning (ML), and Large Language Models (LLMs) has fundamentally transformed the digital threat landscape.

Cybersecurity

AI, Cybersecurity & Emerging Digital Threats

The rapid proliferation of Artificial Intelligence (AI), Machine Learning (ML), and Large Language Models (LLMs) has fundamentally transformed the digital threat landscape.

3 Days4 ModulesProfessional Development

Course Overview

The rapid proliferation of Artificial Intelligence (AI), Machine Learning (ML), and Large Language Models (LLMs) has fundamentally transformed the digital threat landscape. While organizations leverage AI to enhance threat detection, automate security operations, and fortify defenses, malicious actors are weaponizing these same technologies to launch hyper-targeted attacks at an unprecedented scale. From AI-driven phishing and deepfake executive impersonation to autonomous malware and automated vulnerability exploitation, modern security leaders face an entirely new class of digital risk. This intensive three-day programme equips IT leaders, security professionals, risk managers, and enterprise architects with a comprehensive framework to understand, defend against, and govern AI-driven cyber threats while securely harnessing artificial intelligence for enterprise defense.

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

  • Understand the dual-use nature of Artificial Intelligence in cybersecurity—its offensive application by threat actors and its defensive utility for security teams
  • Identify and mitigate emerging AI-specific vulnerabilities, including prompt injection, data poisoning, and model evasion
  • Detect and counter AI-driven social engineering, deepfake executive fraud, and automated phishing campaigns
  • Analyze automated vulnerability discovery and adaptive malware variants capable of evading traditional detection
  • Implement robust security controls for Large Language Models (LLMs), Generative AI applications, and cloud-based AI pipelines
  • Leverage AI-enhanced Security Information and Event Management (SIEM), Extended Detection and Response (XDR), and autonomous security agents
  • Establish ethical AI frameworks, governance models, and regulatory compliance standards for digital technologies
  • Develop a practical 90-Day AI Security and Emerging Threat Mitigation Roadmap

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