The End of Trust: How Agentic AI Breaks Security Assumptions
For decades, the security of digital interaction has rested on an unacknowledged economic constraint. Attackers faced a tradeoff between the fidelity of a deception and the scale at which it could be deployed. Convincing impersonation required sustained human effort and was confined to a narrow set of high-value targets, while mass-market attacks sacrificed plausibility for reach. Detection systems, verification mechanisms, and user awareness training have all been implicitly calibrated to the artifacts of cheap deception that this tradeoff produced. Agentic AI collapses the tradeoff, allowing high-fidelity, individually tailored deception to be produced at mass-market scale. We argue tha...
| Authors | Osama Zafar, Alexander Nemecek, Erman Ayday |
|---|---|
| Primary category | cs.CR |
| Published | 14 May 2026 |
| Last updated at source | 26 September 2026 |
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