Blog
The Autonomy Paradox: Why Smarter AI Agents Are Harder to Secure
By Dr. Reza Alavi on Mon, 01/05/2026
Agentic AI systems are designed for autonomy, but autonomy changes everything. These aren’t traditional vulnerabilities or software bugs; they’re design-level weaknesses where decision logic, data context, and control boundaries collide. And after a year of watching real agents drift, loop, and improvise in production, one thing’s clear: intelligence without constraint isn’t progress, it’s risk...