Objective:
- Students will:
- Analyze various AI-driven cyber threats, including deepfakes, AI-generated phishing, data poisoning, and adversarial attacks.
- Evaluate mitigation strategies, such as SIEM and EDR integration, regular updates, and the use of AI-powered threat detection tools.
- Discuss how AI can be used to enhance threat detection, automate incident response, and analyze large datasets to improve cybersecurity.
- Assess real-world cybersecurity incidents like the Arup deepfake scam, to understand the impact of AI-based attacks and explore possible preventive measures.
Standards:
CSTA Compatibility Standard(s):
- 3B-NI-04: Compare ways software developers protect devices and information from unauthorized access.
Guiding Question:
- How can artificial intelligence be both a tool for strengthening cybersecurity and a weapon for cybercriminals to exploit vulnerabilities?
Resources:
- Lesson Slides Lesson 5.6.1 – AI Threats in Cyber Security.pptx and Activity 5.6.1 – AI Deepfake Case Study.pptx available on Google Classroom
Assignment:
- Follow along with the Lesson 5.6.1 – AI Threats in Cyber Security.pptx presentation in today’s class.
- Complete the Activity 5.6.1 – AI Deepfake Case Study.pptx in class using the materials provided.
- Complete the Activity 5.6.1 – AI Deepfake Case Study using the Student Handout Activity 5.6.1 – AI Deepfake Case Study document available in the Google Classroom.
Posted: November 5th, 2026
Teacher Pacing Due Date: November 6th, 2026