Data and ML Challenges in Cyber

​In today's cybersecurity landscape, data management and machine learning play crucial roles in detecting and preventing threats. This webinar brings together two compelling talks that showcase different aspects of these challenges: from handling massive data streams in real-time security systems to leveraging ML for detecting sophisticated DeepFake threats. Join our experts as they share their hands-on experiences and innovative solutions in tackling these complex cybersecurity challenges.

*The webinar will be held in Hebrew

​Agenda

​17:00-17:45: Streaming your database - Easier said than done? // Sigal Shaharabani, Backend Tech and Group Lead at Tikal

​Need to stream your database for cybersecurity applications? Learn from real-world experience! This session reveals the challenges and solutions in implementing a Change Data Capture (CDC) system at a major cybersecurity company. Despite using off-the-shelf products, scaling, data formats, integrations, and deployment presented unexpected hurdles. Discover how Sigal's team built a scalable, resilient system over 18 months, and gain actionable insights for your own CDC implementation.

​17:45-18:30: Challenges and Solutions in DeepFake Detection with ML // Ilia Kravets, Head of Engineering at Clarity

​DeepFakes pose serious threats across ethical, social, political, and cybersecurity domains. Join Ilia as he unveils an innovative ML-based approach to DeepFake detection. Learn about the unique challenges in building scalable, accurate detection systems and discover how cutting-edge AI can combat digital deception. This accessible session caters to both tech enthusiasts and newcomers to machine learning.

​About the Speakers

​Sigal Shaharabani
Sigal is a Tech and Group Lead in Tikal, with a great passion for backend and data systems. She started her technological career way back in 1996, working for the government, a variety of corporations, and small start-ups. Her favorite programming language is Kotlin, and will love any excuse to talk about it. In her spare time she enjoys swimming and Israeli folk dancing.

​Ilia Kravets
Ilia is the Head of Engineering at Clarity. He brings more than 20 years of experience in building software. For the past 10 years, he has been leading software teams, ranging from early-stage startups to multinational enterprises and spanning multiple domains and technologies. In 2019, Ilia studied machine learning and published an academic paper applying deep learning techniques to analyze the 3D structure of medical images.

​Learn more about Tikal → Here
Learn more about Clarity → Here

See you soon!