Why the Future of Cybersecurity Belongs to AI-Native Organizations
Security Boulevard, Thursday, June 18th, 2026
Argues that as attackers go fully AI-native, only AI-native organizations can keep pace in cybersecurity.
Authored by Doppel's Kevin Tian and Rahul Madduluri, the article argues generative AI has collapsed the attack timeline from days to minutes, enabling cheap, hyper-personalized, multi-surface deception campaigns and over 1,000% growth in phishing volume.
It questions how legacy vendors relying on manual human triage can keep pace with adversaries running fully autonomous AI-native operations.
The legacy model is described as siloed, reactive, and dependent on scaling human headcount to manage noise.
The piece contends the AI world rewards speed, autonomy, and efficiency, urging companies to use AI tokens instead of headcount, run flat organizations, and build self-improving operational loops.