LLMs & Malicious Code Injections: 'We Have to Assume It's Coming'
ID: ac272336-6313-5b7a-982d-968ee0289381
STIX ID: report--ac272336-6313-5b7a-982d-968ee0289381
Feed Name: Dark Reading
Date Published: 2024-05-06
Date Updated: 2026-04-21
Author: Jeffrey Schwartz, Contributing Writer
A CISO roundtable at RSAC highlighted prompt injection into LLM-powered workflows as a rising organizational risk, citing scenarios where malicious prompting can generate socially engineered alerts and lead to unauthorized data sharing. Panelists underscored pervasive shadow AI, noted AI’s disruption of SIEM by reducing L1/L2 triage, and advised leaders to establish usage boundaries, deliver basic prompt-engineering training, and reinforce testing and continuous learning in application development.
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