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.
AI and agents
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.
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Modernize your Security Operations Center with Microsoft Sentinel
Microsoft Sentinel is a cloud-native SIEM solution powered by AI and automation that delivers intelligent security analytics across your entire enterprise.
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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. -
Automated incident response in Office 365 ATP now generally available
Powerful automation capabilities help improve the effectiveness and efficiency of investigating and responding to Office 365 alerts. -
CISO series: Better cybersecurity requires a diverse and inclusive approach to AI and machine learning
A collaborative, inclusive approach to creating AI and machine learning models can help increase your resilience to cyberattacks. Tailored AI insights from Microsoft Security Copilot
Empower your defenders to detect hidden patterns, harden defenses, and respond to incidents faster with generative AI.
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New machine learning model sifts through the good to unearth the bad in evasive malware
Most machine learning models are trained on a mix of malicious and clean features. -
The evolution of Microsoft Threat Protection, February update
Learn about the latest enhancements to Microsoft Threat Protection, the premier solution for securing the modern workplace across identities, endpoints, user data, apps, and infrastructure. -
Securing the future of AI and machine learning at Microsoft
The “Securing the Future of Artificial Intelligence and Machine Learning at Microsoft” paper outlines net-new security engineering challenges in the AI and machine learning space. -
The AI cybersecurity impact for IoT
Insights into how the security community is working to secure IoT devices today, and how AI will enhance those efforts over time. 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.
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Practical application of artificial intelligence that can transform cybersecurity
There is tremendous opportunity to use AI—particularly machine learning—to improve the efficacy of cybersecurity, the detection of hackers, and even prevent attacks before they occur. -
Enhancing Office 365 Advanced Threat Protection with detonation-based heuristics and machine learning
Office 365 Advanced Threat Protection (ATP) uses a comprehensive and multi-layered solution to protect mailboxes, files, online storage, and applications against a wide range of threats. -
A worthy upgrade: Next-gen security on Windows 10 proves resilient against ransomware outbreaks in 2017
Adopting reliable attack methods and techniques borrowed from more evolved threat types, ransomware attained new levels of reach and damage in 2017. -
Application fuzzing in the era of Machine Learning and AI
Proactively testing software for bugs is not new.
