Detect & Respond to Mobile AI Threats
Completed by DYLAN ALEXANDER OYARZUN
July 12, 2026
4 hours (approximately)
DYLAN ALEXANDER OYARZUN's account is verified. Coursera certifies their successful completion of Detect & Respond to Mobile AI Threats
What you will learn
Analyze how AI features like sensors, models, and agents make phones attack surfaces and enable deepfake-based scams.
Evaluate technical attack paths—zero-permission inference and multi-layer agent attacks—using real research cases.
Design a mobile-focused detection and response plan with simple rules, containment steps, and key resilience controls.
Skills you will gain
- Category: Incident Response
- Category: AI literacy
- Category: Hardening
- Category: Prompt Engineering
- Category: Security Controls
- Category: AI Security
- Category: Mobile Development Tools
- Category: Exploitation techniques
- Category: Endpoint Security
- Category: Human Factors (Security)
- Category: Mobile Security
- Category: Artificial Intelligence
