How to Securely Deploy Large Language Models: Understanding New Attack Vectors
Introduction
Deploying Large Language Models (LLMs) in production is becoming increasingly common as organizations look to leverage AI capabilities. However, this integration comes with new security challenges that many engineering teams are not prep...
sarmento.hashnode.dev3 min read
Ali Muwwakkil
One surprising insight is that most security breaches with LLMs occur not from the models themselves but from the surrounding infrastructure. In our experience with enterprise teams, we've found that securing APIs and data pipelines is critical. Implementing robust authentication and encryption protocols can often mitigate these vulnerabilities more effectively than trying to harden the model alone. - Ali Muwwakkil (ali-muwwakkil on LinkedIn)