{"id":23971,"date":"2026-06-04T08:30:00","date_gmt":"2026-06-04T15:30:00","guid":{"rendered":"https:\/\/www.microsoft.com\/insidetrack\/blog\/?p=23971"},"modified":"2026-06-09T13:16:49","modified_gmt":"2026-06-09T20:16:49","slug":"microsoft-ciso-advice-securing-ai-with-full-stack-red-teaming","status":"publish","type":"post","link":"https:\/\/www.microsoft.com\/insidetrack\/blog\/microsoft-ciso-advice-securing-ai-with-full-stack-red-teaming\/","title":{"rendered":"Microsoft CISO advice: Securing AI with full stack red teaming"},"content":{"rendered":"\n

At Microsoft, we approach security for AI systems holistically using a full stack red teaming that <\/strong>goes beyond just testing an AI model.<\/p>\n\n\n\n

Corporate Vice President of red teaming at Microsoft Craig Nelson describes what he looks for with this method, \u201cI’m interested in the model, but I’m also interested in how that model connects with underlying additional data. And then how that model also executes automation from the back end.\u201d<\/p>\n\n\n\n

In this video, Nelson explains why securing AI requires more than testing the model alone.<\/p>\n\n\n\n

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