Cyberattacks against machine learning systems and the new Adversarial ML Threat Matrix - Securezoo Blog

In the wake of an increase in cyber attacks against machine learning (ML) systems, Microsoft along with MITRE and contributions from 11 other organizations, have released the Adversarial ML Threat Matrix. The Adversarial ML Threat Matrix is an open ATT&CK-style framework to help security analysts detect, respond to, and remediate threats against ML systems. Machine learning (ML) is often seen as a subset of artificial intelligence (AI) and is based on the ability of systems to automatically learn and improve from its experience. Many industries, such as finance, healthcare, and defense, have used ML to transform their businesses and positively impact people worldwide. With the ML and AI advancements, however, Microsoft warned that many organizations have not kept up on security of their ML systems.