Jeff Schwartzentruber | Source | Sr. Machine Learning Scientist at eSentire
Jeff Schwartzentruber
Dr. Jeff Schwartzentruber holds the position of Sr. Machine Learning Scientist at eSentire – a Canadian cyber-security company specializing in Managed Detection and Response (MDR). Dr. Schwartzentruber’s primary academic and industry research has been concentrated in solving problems at the intersection of cyber-security and machine learning (ML). Over his 10-year career, Dr. Schwartzentruber has been involved in applying ML for threat detection and security analytics for several large Canadian financial institutions, public sector organizations (federal) and SME’s. In addition to his private sector work, Dr. Schwartzentruber is also an Adjunct Faculty at Dalhousie University in the Department of Computer Science, a Special Graduate Faculty member with the School of Computer Science at the University of Guelph, and a Research Fellow at the Rogers Cybersecure Catalysts.
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eSentire
Sr. Machine Learning Scientist
started Dec 2021
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How AI is changing patch management
With the number of vulnerabilities surging, patch management is becoming complex and time-consuming
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Security, privacy, and generative AI
The integration of large language models into many third-party products and applications present many unknown security and privacy risks. Here’s how to address them.
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EU AI Act: Effective Enforcement or Overly Ambitious?
Jeff notes, “The AI Act’s effectiveness will be tested in courts. While it provides much-needed clarity, the broad scope and diverse applications of AI make enforcement complex.” He compares it to GDPR, highlighting a learning curve and the need for prioritization in regulatory efforts.