AI vs Zero Trust

Artificial intelligence (AI) works via a set of probabilities. When an AI algorithm provides a recommendation, under the hood, the algorithm will make a determination such as "this file has been classified and has a 29% chance of being malware". What is the suitable threshold to raise concerns to the security engineer? 40% chance? 90% chance? The AI is never 100% sure if something is good or bad unless it has already seen it.

All AI is based on machine learning algorithms. This means that to classify a piece of information or make a recommendation, it must be trained on a training dataset of historical information. This entails training the machine learning (ML) algorithm on a  training dataset of old or previously seen malware in the cybersecurity field. The ML algorithm attempts to create a model that can accurately classify this old malware with a high level of accuracy (high probability of classifying the historical malware correctly). This is an incredible feat of engineering, but this is also the Achilles Heel of AI.  

The post AI vs Zero Trust appeared first on Security Boulevard.