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.
Cybersecurity threats are always evolving, and today we’re seeing a new wave of advanced attacks specifically targeting IoT devices used in enterprise environments as well as operational technology devices used in industrial systems and critical infrastructure.
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.
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As containers become a major part of many organizations’ IT workloads, it becomes crucial to consider the unique security threats that target such environments when building security solutions.
Microsoft is pleased to announce the publication of the Security Stack Mappings for Azure project in partnership with the Center for Threat-Informed Defense.
We are so grateful to our customers who have collaborated with us in creating one of the best endpoint security solutions on the market and are thrilled that Gartner has recognized this work and the journey we’ve taken alongside our customers by naming Microsoft a Leader in the 2021 Endpoint Protection Platforms (EPP) Magic Quadrant, positioned highest on ability to execute.
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In MITRE Engenuity’s recent Carbanak+FIN7 ATT&CK Evaluation, Microsoft demonstrated that we can stop advanced, real-world attacks by threat actor groups with our industry-leading security capabilities.
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.
Microsoft is happy to have contributed and worked closely with the Center for Threat-Informed Defense and other partners to develop the MITRE ATT&CK® for Containers matrix.