In our previous entry, we examined how credentials were being stored and logged in cleartext on compute instances (CIs) created in Azure Machine Learning (AML) service and the risks posed by the same. This article examines an information disclosure bug we found in one of the cloud agents used in the AML service and sheds light on the importance of threat modeling the agents’ features to uncover silent and hidden attack surfaces.
Machine Learning: Find out how Trend Micro uses advanced technologies such as machine learning and artificial intelligence to provide a holistic, multi-layered defense to keeping systems safe. Read more
Trend Micro Cloud App Security detected and blocked 12.7 million high-risk threats that passed through the built-in security of cloud-based email services. We provide an in-depth report on the notable trends and stories from 2019 to help organizations prepare.
We listed a rundown of PoCs and real-life attacks where machine learning was weaponized to get a clearer picture of what is possible and what is already a reality with regard to machine learning-powered cyberthreats.
We have developed a machine learning model called TrendX Hybrid Model that uses two training phases — pre-training and training — and allows us to correlate static and behavior features to improve detection rates and reduce false positives.