Detecting and preventing threats can be time-consuming when excess noise and false positives slow investigations. For better threat detection, you need the best foundational data. In this Fireside Chat, cybersecurity experts from Censys will cover three different layers for running a lean, highly effective threat detection program.
  • Stopping surprises at the attack surface
  • Reducing threat detection noise
  • Going on offense to identify attacker infrastructure
Jesse Davis, Moderator
Chief Technologist, DZone
As the Chief Technologist @ DZone, Jesse is responsible for guiding the strategic direction of products and helping customers build the world’s largest, most engaging developer communities for companies like Disney, Amazon, SAP, Pixar, and Unity. Jesse has been building enterprise software and engineering teams for 25 years and is a respected executive, author, speaker, and coach. Jesse serves as a software industry advisor and, prior to Devada, Jesse developed the first data access for Java and served as an expert an innovator on industry data standards including JDBC, ODBC, and ANSI SQL.
Morgan Princing
Product Manager, Censys
Morgan Princing is a Senior Product Manager at Censys working on the Exposure Management and Censys Search Products. She started her career in cybersecurity 10 years ago doing botnet detection and has since worked closely with customers to help develop value-driven security products. Morgan holds a Bachelor of Arts in Economics and Urban Studies from the University of Michigan. Morgan is a 2019 World IT Award Winner for Women in Security.
Michael Bailey
Senior Product Marketing Manager, Censys
Michael: Mike has almost 10 years of experience in the cybersecurity field where he's helped hundreds of security professionals improve the efficacy of their security programs. He holds a Bachelor's degree from the University of Pittsburgh and enjoys working with high-growth, impactful cybersecurity startups like Censys.
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