Training

2018 New York Security Summit , Artificial Intelligence & Machine Learning , Events

How to Contain Insider Threats Through User-Centric Machine Learning and AI

How to Contain Insider Threats Through User-Centric Machine Learning and AI

Despite increasing investment in cyber security tools, there has been a significant increase in in data breaches, compliance violations and their related costs, specifically those relating to insider threats: accidental loss, misdirected content, and the malicious insider. These types of incidents contribute up to 80% of all breached records and are often the result of human error when handling sensitive data - mistakes that traditional tools are unable to identify and address - until now.

The session will explore the role of user-centric AI and Machine Learning to enable secure data sharing and collaboration across complex enterprise organizations while proactively detecting and preventing unintentional and malicious insider threats.

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