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How agentic AI flips the trust model

ID: 4f0fd9f8-9aa2-5a5b-8b67-43e52ea3473d

STIX ID: report--4f0fd9f8-9aa2-5a5b-8b67-43e52ea3473d

Feed Name: ReversingLabs Blog

Date Published: 2026-04-30

Date Updated: 2026-04-30

Author: John P. Mello Jr.

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### Executive Summary: This article discusses how agentic AI and LLMs are changing AppSec by moving risk into the data and context layer—introducing new attack vectors like prompt injection and poisoned context windows—and outlines mitigation strategies (data provenance, least privilege, containment, runtime monitoring, egress controls, and governance gates) and organizational approaches (tokenization, confidential computing, and supply-chain assessments) to manage emerging "trust debt".

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