Learn how we’re using deep learning to build a powerful, high-precision classification model for long sequences of wide-ranging signals occurring at different times.
Azure Security Center monitors and defends thousands of Kubernetes clusters running on top of Azure Kubernetes Service. In this blog, we’ll reveal a new campaign that was observed recently by ASC that targets Kubeflow, a machine learning toolkit for Kubernetes.
A collaboration between data science and security produced a machine learning model that accurately identifies and classifies security bugs based solely on report names.
I’ve long been a proponent to challenging traditional schools of thought—traditional cyber-norms—and encouraging our industry to get outside its comfort zones.
New innovations for built-in and cross-platform security that embrace AI.
Microsoft Insider Risk Management and Communication Compliance in Microsoft 365 help organizations address internal risks—such as IP theft or code of conduct policy violations.
Threat protection that changes our approach to attacks requires built-in intelligence that can understand how an attack got in, prevent its spread across domains, and automatically heal compromised assets.
On this episode of Afternoon Cyber Tea, Ann Johnson and Jane Frankland discuss chatbots, AI, and increasing the number of women in cybersecurity.
The RSA Conference 2020 kicks off in less than three weeks—here are a few highlights to help you plan your time.
Listen to Ann Johnson discuss the scale of cyber threats—past, present, and future—with security strategist, Marc Goodman on her new podcast, Afternoon Cyber Tea.
Microsoft published a series of materials that define common vocabulary that can be used to describe intentional and unintentional failures.
Our goal has remained the same since we first launched Microsoft Azure Sentinel in February: empower security operations teams to help enhance the security posture of our customers. Today, we take the next step in that journey by making Azure Sentinel generally available.
