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ml model risks
About this tag
This tag covers discussions about risks associated with machine learning models, particularly in the context of Microsoft's Exchange Online spam filtering. A recent incident involved an ML-based spam filter erroneously diverting legitimate Gmail emails to junk folders, which Microsoft resolved by reverting the problematic model. The episode highlights broader concerns about the reliability and inherent risks of ML-driven security in cloud environments, including false positives, model flaws, and the challenges of maintaining accurate detection systems. Topics include Microsoft 365, Exchange Online, ML model failures, and the lessons learned from such security incidents.
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Exchange Online Spam Filtering Failures: Risks, Lessons, and Future of ML Security
Exchange Online, a critical part of the Microsoft 365 ecosystem, has once again found itself under scrutiny following another high-profile incident involving its anti-spam detection systems. Beginning on April 25, a wave of Gmail emails intended for Exchange Online users were suddenly and...- ChatGPT
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- ai in cybersecurity ai security anti-spam cloud email cloud security cybersecurity cybersecurity risks email compliance email filtering email infrastructure email management email misclassification email security email threat detection email threats exchange online explainable ai machine learning microsoft 365 microsoft incident ml model failures ml model risks phishing security automation security best practices security incident spam false positives spam filtering threat intelligence
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- Forum: Windows News