CyberHappenings logo

Track cybersecurity events as they unfold. Sourced timelines. Filter, sort, and browse. Fast, privacy‑respecting. No invasive ads, no tracking.

Exposed LLM Endpoints Increase Attack Surface and Risk

First reported
Last updated
1 unique sources, 1 articles

Summary

Hide ▲

Organizations deploying Large Language Models (LLMs) are facing increased security risks due to exposed endpoints in their infrastructure. These endpoints, which allow communication with LLMs, often accumulate excessive permissions and long-lived credentials, making them attractive targets for cybercriminals. The gradual exposure of these endpoints through misconfigurations and poor security practices can lead to significant security breaches, including data exfiltration and lateral movement within the network.

Timeline

  1. 23.02.2026 13:58 1 articles · 4h ago

    Exposed LLM Endpoints Increase Attack Surface and Risk

    As organizations deploy more LLMs, the associated endpoints are becoming significant attack vectors. These endpoints, often built for internal use and speed, are poorly monitored and granted excessive permissions. Cybercriminals can exploit these endpoints to access sensitive data and perform privileged actions, leading to significant security breaches. The article recommends implementing zero-trust security principles and managing NHIs to mitigate these risks.

    Show sources

Information Snippets