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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Microsoft Security will be at the 2023 RSA Conference and we’d love to connect with you there. -
Microsoft Secure: Explore innovations transforming the future of security
Microsoft Secure kicks off today with on-demand content available to those who register. -
Microsoft achieves first native Cloud Data Management Capabilities certification
Today marks a significant industry milestone accelerating cloud adoption by ensuring sensitive data is secure and enabling organizations to focus on deriving value from data. -
Leverage cloud-powered security with Microsoft Defender for IoT
Learn how the new Microsoft Defender for IoT delivers integrated, comprehensive security for your IoT and OT environment. -
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. -
The Microsoft Intune Suite fuels cyber safety and IT efficiency
Today marks a significant shift in endpoint management and security. -
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. -
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. -
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. -
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. -
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. -
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.