At Microsoft, we’ve been working on the challenges and opportunities of AI for years. Today we’re sharing some recent developments so that the community can be better informed and better equipped for a new world of AI exploration.
Join our community of analysts and engineers at the third annual InfoSec Jupyterthon 2022, an online event taking place on December 2 and 3, 2022.
Partnering with organizations like Carnegie Mellon University allows us to bring their rich research and insights to our products and services, so customers can fully benefit from our breadth of signals.
Microsoft is pleased to announce a powerful new feature in Windows to make your transition to a TLS 1.2+ world easier.
We adopted a deep learning technique that was initially developed for natural language processing and applied to expand Microsoft Defender ATP’s coverage of detecting malicious PowerShell scripts, which continue to be a critical attack vector.
Machine learning and natural language processing can automate the processing of unstructured text for insightful, actionable threat intelligence.
Meet Microsoft’s Detection and Response Team (DART) and read their advice that may help you avoid working with them in future.
Predictive technologies are already effective at detecting and blocking malware at first sight. A new malware prediction competition on Kaggle will challenge the data science community to push these technologies even further—to stop malware before it is even seen.
Every day, antivirus capabilities in Microsoft Defender Advanced Threat Protection (Microsoft Defender ATP) protect millions of customers from threats.
In a previous post, in the spirit of our commitment to delivering industry-leading protection, customer choice, and transparency on the quality of our solutions, we shared insights and context into the results of AV-TEST’s January-February 2018 test cycle.
