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Researchers Map AI Threat Landscape, Risks

ID: fffa4f59-835c-5e5a-96ab-5fc99b01d27a

STIX ID: report--fffa4f59-835c-5e5a-96ab-5fc99b01d27a

Feed Name: Dark Reading

Date Published: 2024-01-24

Date Updated: 2026-05-05

Author: Robert Lemos, Contributing Writer

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This article discusses the systemic security risks of large language models (LLMs), focusing on the "black box" nature of LLMs as identified in a BIML report and complementary NIST taxonomy work. It highlights 81 risks (23 tied to black-box issues), the difficulty of defending generative models against adversarial prompts, and calls for regulatory accountability for foundation-model providers while noting current mitigations are limited and a cat-and-mouse dynamic persists.

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