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. In addition, we are providing new updates to Counterfit, our open-source tool to simplify assessing the security posture of AI systems.
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New Secured-core servers are now available from the Microsoft ecosystem to help secure your infrastructure

With cyberattacks continuing to rise, the need for secure computing has never been more important. Customers care about the protection of their data and workloads, and platform security can be an important tool in a comprehensive defense-in-depth strategy.
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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.
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Gamifying machine learning for stronger security and AI models

We are open sourcing the Python source code of a research toolkit we call CyberBattleSim, an experimental research project that investigates how autonomous agents operate in a simulated enterprise environment using high-level abstraction of computer networks and cybersecurity concepts.
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Stop Office 365 Credential Theft with an Artificial Eye

We all know that email remains by far the number one threat vector facing organizations today. Trend Micro blocked more than 20.4 billion threat in the first half of 2018 alone, nearly 83% of which were email borne. But there’s more: corporate email accounts have also become a key target for attackers in their own…
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