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Seth Marlowe is a highly experienced cybersecurity professional currently serving as Senior Director and Cybersecurity Evangelist at Sophos. With over two decades in the field, he possesses deep expertise in threat intelligence, incident response, security strategy, and translating complex technical concepts into understandable business implications. Seth is passionate about educating organizations and individuals on the evolving cyber threat landscape and empowering them with knowledge to build stronger defenses. He is a frequent speaker at industry events and a prolific writer on cybersecurity topics.
Seth Marlowe's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Leads cybersecurity evangelism efforts, articulating Sophos's vision and strategy while educating the market on critical cyber threats and effective defense mechanisms.
Recognized for his ability to distill complex cybersecurity topics, frequently presenting at industry conferences, webinars, and corporate events to diverse audiences globally.
Regularly contributes articles, blog posts, and whitepapers on cybersecurity trends, threat analysis, and best practices, often featured on platforms like Medium and official company channels.
Over 20 years of dedicated experience in various cybersecurity roles, including positions at notable companies like SentinelOne, Kudelski Security, and Forrester Research, demonstrating a consistent track record of leadership and expertise.
Appalachian State University - Year 1989
Appalachian State University - Year 1989
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
ASAPP is an artificial intelligence (AI) research and development company focused on transforming customer experience (CX) and contact center operations. Their platform uses advanced machine learning and natural language processing (NLP) to augment human agents, automate tasks, and provide deep insights into customer interactions. The goal is to improve agent productivity, enhance customer satisfaction, and reduce operational costs for large enterprises by making customer service agents radically more productive and customers happier.
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