As AI coding assistants invent nonexistent software libraries to download and use, enterprising attackers create and upload libraries with those names—laced with malware, of course.
As AI coding assistants invent nonexistent software libraries to download and use, enterprising attackers create and upload libraries with those names—laced with malware, of course.
As large language models (LLMs) become increasingly prevalent in businesses and applications, the need for robust security measures has never been greater. An LLM, if not properly secured, can pose significant risks in terms of data breaches, model manipulation, and even regulatory compliance issues. This is where engaging an external security company becomes crucial.
In this blog, we will explore the key considerations for companies looking to hire a security team to assess and secure their LLM-powered systems, as well as the specific tasks that should be undertaken at different stages of the LLM development lifecycle.