Abstract

While technological innovations bring us new options for better security, we must constantly evaluate how they affect our privacy. For example, with cheaper, better cameras, we can have surveillance, but we lose some privacy. When traveling by plane, we let security x-ray our bags for assurance of security. We make the same considerations for securing our organizations. Today, the number one threat vector is email security, where hackers are targeting employee communications. We need better ways of monitoring communications, but no one wants anyone going through their emails, documents, slack, etc. With the age of AI - we have new opportunities where machines can analyze the communications in an automated fashion, and flag issues for security, without violating privacy. In this talk, learn how new techniques using deep learning and natural language understanding (NLU) deliver better security without sacrificing privacy.

Presented by

Presentation

Download

Bio

With more than 20 years experience in strategy and marketing for high tech companies, Melinda is VP of Marketing for Armorblox. She is passionate about building strong brands and driving revenue, most recently serving as VP of Marketing for Styra, and previously launching container security vendor StackRox out of stealth mode. Previously, she led product marketing and strategy teams at Tenable, influencing product roadmap, acquisition plans, business development, and sales. She also led global communications for Qualys, up to and following its IPO. Prior to Qualys, she spent six years at VMware, where she led PR for its full portfolio of virtualization solutions, built the company's customer reference program, and served as a core member to the VMworld planning team. Melinda is a board member for the Synopsys Outreach Foundation, a member of IEEE, and has led media training workshops for engineers and researchers. Melinda has a bachelor's degree in English from U.C. Berkeley.