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Jim Scharf is a distinguished leader in the cybersecurity industry, currently serving as the General Manager for the Microsoft Security Response Center (MSRC). With over 25 years of experience at Microsoft, he has been at the forefront of the company's efforts to protect customers and the digital ecosystem from security threats. Jim leads a global team of security experts who are responsible for responding to security vulnerabilities, managing incident response for major cyberattacks, and pioneering proactive threat intelligence. His career has been dedicated to evolving security practices, from foundational anti-malware work to navigating the complex challenges of cloud security and AI-driven defense. He is a key figure in Microsoft's response to some of the most significant cyber events in history, including NotPetya and WannaCry, and is a strong advocate for public-private partnerships to enhance global cybersecurity.
Jim Scharf's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
As General Manager, Jim Scharf leads the MSRC, Microsoft's frontline team responsible for responding to security vulnerabilities in its products and services. He oversees the global team of security professionals who work 24/7 to protect customers from emerging threats.
Played a pivotal role in leading Microsoft's response to some of the world's most significant cyberattacks, including WannaCry and NotPetya. His leadership has helped shape modern incident response protocols and foster crucial public-private partnerships in cybersecurity.
With a career at Microsoft spanning over two decades, Jim has been a consistent and influential voice in the evolution of cybersecurity, from early anti-malware efforts to today's complex cloud security and AI-driven threat intelligence landscape.
Rutgers University - Year 1991
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Snowflake provides a cloud-based data platform, the Snowflake Data Cloud, where organizations can consolidate their data for data warehousing, data lakes, data engineering, data science, and data application development. It enables users to securely share and consume shared data, running on major cloud platforms like AWS, Azure, and Google Cloud.
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