AI Cybersecurity Identity Threats in 2026
Artificial intelligence has become a defining force in modern cybersecurity systems, influencing identity management, threat detection, and automated defense mechanisms. This paper presents a theoretical analysis of AI-enabled identity threats, including synthetic identity impersonation, adaptive social engineering, and autonomous exploitation.
Author: Saksham Shekher
Affiliation: Ganpat University · MCA (Cybersecurity)
Published: January 30, 2026
Abstract
Artificial intelligence has become a defining force in modern cybersecurity systems, influencing identity management, threat detection, and automated defense mechanisms. This paper presents a theoretical analysis of AI-enabled identity threats, including synthetic identity impersonation, adaptive social engineering, and autonomous exploitation.
Citation
Saksham Shekher (2026). AI Cybersecurity Identity Threats in 2026: A Theoretical Analysis.