'Everybody's learning as they go. But there's a rush to get these apps out'
As corporations rush full tilt to capitalize on the AI craze and bring machine-learning-based apps to market, they aren't paying enough attention to application security, says AWS Chief Information Security Office Chris Betz.There needs to be safeguards and other protections around these advanced neural networks, from training to inference, to avoid them being exploited or used in unexpected and unwanted in ways, we're told:"A model doesn't stand on its own.
"How do you make sure you're getting the right data, that that data is protected, that you're training the model correctly, and that you have the model working the way that you want," Betz said."You spend all this time training and fine tuning the model. Where do you run the model? How do you protect the model? These models are really interesting because they get handed some of the most sensitive data that a company has," Betz said.
Securing the top layer — the applications using LLMs or those built on top of AI platforms — sometimes gets lost in the push to market.
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