AI and machine learning

AI and machine learning help you identify threats sooner and respond more effectively. Learn how to safeguard your infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS) resources across multicloud and hybrid environments.

Refine Results

Filtered by

Clear All

Oldest to Newest

Refine results

Sort By

Content Type

Topic

Products and services

Publish date

Start Date

End Date

Prevent threats with Microsoft Defender
The Microsoft Defender family offers comprehensive threat prevention, detection, and response capabilities for everyone—from individuals looking to protect their family to the world’s largest enterprises.
Explore products
September 24, 2019

5 min read

Azure Sentinel—the cloud-native SIEM that empowers defenders is now generally available

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.
December 13, 2019

1 min read

Finding a common language to describe AI security threats

Microsoft published a series of materials that define common vocabulary that can be used to describe intentional and unintentional failures.
January 29, 2020

2 min read

Afternoon Cyber Tea—The State of Cybersecurity: How did we get here? What does it mean?

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.
February 4, 2020

3 min read

RSA Conference 2020—Empower your defenders with artificial intelligence and automation

The RSA Conference 2020 kicks off in less than three weeks—here are a few highlights to help you plan your time.
Retain Microsoft Security Experts
Microsoft Security Experts are now available to strengthen your team with managed security services. Learn how to defend against threats with security experts.
Get started
February 10, 2020

2 min read

Afternoon Cyber Tea—From threat intelligence to chatbots: A look at AI in cybersecurity

On this episode of Afternoon Cyber Tea, Ann Johnson and Jane Frankland discuss chatbots, AI, and increasing the number of women in cybersecurity.
February 20, 2020

5 min read

Microsoft Threat Protection stops attack sprawl and auto-heals enterprise assets with built-in intelligence and automation

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.
February 20, 2020

1 min read

Microsoft Insider Risk Management and Communication Compliance in Microsoft 365 now generally available

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.
February 20, 2020

2 min read

New Microsoft Security innovations and partnerships

New innovations for built-in and cross-platform security that embrace AI.
Go beyond data protection with Microsoft Purview
Govern, protect, and manage all of your data with Microsoft Purview, comprehensive solutions to help give you better visibility and control.
Learn more
March 19, 2020

5 min read

Welcoming more women into cybersecurity: the power of mentorships

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.
April 16, 2020

4 min read

Secure the software development lifecycle with machine learning

A collaboration between data science and security produced a machine learning model that accurately identifies and classifies security bugs based solely on report names.
June 10, 2020

4 min read

Misconfigured Kubeflow workloads are a security risk

Azure Security Center monitors and defends thousands of Kubernetes clusters running on top of Azure Kubernetes Service.
July 23, 2020

11 min read

Seeing the big picture: Deep learning-based fusion of behavior signals for threat detection

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.