Defending Against AI-Generated Attacks

Shortly after the release of ChatGPT, both ethical and unethical hackers began discussing the potential applications of such technology for offensive and defensive purposes. One of the most prominent applications for this type of generative AI is generating high-quality messages for use in phishing campaigns. Take this course to learn how to combat and identify these phishing attempts.

Syllabus

Teach an AI to Phish: Learn about how Generative AI was used on a company.

Article: Case Study: Teach An A.I. to Phish
Quiz: Teach An A.I. to Phish

Attacking the Source: Learn about the machine learning model for creating AI and how attacks are brought up against it.

Lesson: Attacking The Source
Quiz: Attacking the Source

Language Generative Concerns: Learn about language generative concerns.

Lesson: Language Generative Concerns
Quiz: Language Generative Concerns

Online Manipulation: Learn about attacks that can manipulate social media and online platforms.

Lesson: Online Manipulation
Quiz: Online Manipulation

Deepfake Creation: Learn about AI-generated attacks that involve the creation of deepfake content.

Lesson: Deepfakes
Quiz: Deepfakes

Combating AI-Generated Attacks: Learn about what a company is doing to combat AI-generated attacks.

Article: Case Study: Combating AI-Generated Attacks
Quiz: Combating AI-Generated Attacks Quiz

Robust Defenses: Learn about the importance of developing and implementing robust defenses against AI attacks.

Lesson: Robust Defenses
Quiz: Robust Defenses

Robust Detections: Learn about the importance of improving detection capabilities and what detection capabilities are currently available for individuals and organizations.

Lesson: Robust Detections
Quiz: Robust Detections
Informational: Next Steps