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 (Read more...)