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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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One of the things that our Detection and Response Team (DART) and Customer Service and Support (CSS) security teams see frequently during investigation of customer incidents are attacks on virtual machines from the internet.
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Security Unlocked—A new podcast exploring the people and AI that power Microsoft Security solutions
It’s hard to keep pace with all the changes happening in the world of cybersecurity. -
CISO Spotlight: How diversity of data (and people) defeats today’s cyber threats
This year, we have seen five significant security paradigm shifts in our industry. -
Cyberattacks against machine learning systems are more common than you think
Machine learning (ML) is making incredible transformations in critical areas such as finance, healthcare, and defense, impacting nearly every aspect of our lives. -
AI security risk assessment using Counterfit
Counterfit is a command-line tool for security professionals to red team AI systems and systematically scans for vulnerabilities as part of AI risk assessment. -
Attack AI systems in Machine Learning Evasion Competition
Today, we are launching MLSEC.IO, a new machine learning security evasion competition as an educational effort for the AI and security communities to exercise their muscle to attack critical AI systems in a realistic setting. -
Automating security assessments using Cloud Katana
Today, we are open-sourcing Cloud Katana, a cloud-native tool under development, to automate simulation steps on-demand in multi-cloud and hybrid cloud environments. -
AI-driven adaptive protection against human-operated ransomware
We developed a cloud-based machine learning system that, when queried by a device, intelligently predicts if it is at risk, then automatically issues a more aggressive blocking verdict to protect the device, thwarting an attacker’s next steps. -
Best practices for AI security risk management
Today, we are releasing an AI security risk assessment framework as a step to empower organizations to reliably audit, track, and improve the security of the AI systems. -
Learn what an AI-driven future means for cybersecurity at Microsoft Secure
Vasu Jakkal invites you to join us at the Microsoft Secure digital event to discover exciting product announcements and what an AI-driven future means for cybersecurity. -
The Microsoft Intune Suite fuels cyber safety and IT efficiency
Today marks a significant shift in endpoint management and security. -
Join us at Microsoft Secure to discover the latest security solutions
Register for Microsoft Secure on March 28, 2023, for insights on AI, identity, data security, and more.