Ai-Augmented Threats: Threat Actors, Motivations, And Capabilities
Released 7/2026
By Matt Lloyd Davies
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Advanced | Genre: eLearning | Language: English + subtitle | Duration: 39m 24s | Size: 314.2 MB
Generative AI has rewritten the rules of who can mount sophisticated attacks.
Generative AI has rewritten the rules of who can mount sophisticated attacks. Nation-state APTs now run prompt-tuned tradecraft, eCrime crews ship LLM-generated lures, and entry-level operators wield capabilities once reserved for elite teams. Defenders need a working taxonomy of AI-augmented threat actors before they can size response, prioritize threat-intel investment, or brief leadership effectively.
In this course, AI-Augmented Threats: Threat Actors, Motivations, and Capabilities, you'll learn how to categorize AI-augmented threat actors by capability, motivation, and tooling.
First, you'll explore the principal threat categories and the AI use cases each tier has adopted. Next, you'll discover how AI compresses the skill required to mount sophisticated attacks, and which capability uplifts have been demonstrated rather than just predicted. Finally, you'll learn how the underground AI tooling ecosystem, including WormGPT, FraudGPT, and the marketplaces driving capability proliferation, turns research into commodity criminal capability.
By the end of this course, you'll have the categorization framework needed to size defender response, prioritize threat-intel feeds, and brief leadership on the practical impact of AI-augmented threats.
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