Researchers Find Open-Source LLMs on Public Hosts Exposed to Criminal Exploitation
Cybersecurity firms SentinelOne and Censys conducted a 293-day analysis of publicly accessible deployments of open-source large language models, finding a substantial number of instances where safety controls were absent or deliberately removed. The researchers observed system prompts in about a quarter of deployments and judged 7.5% of those as po…