Cybersecurity Innovation Night
Machine & Deep Learning for the Secure Future
- TYPE: Innovation Slam DATE: November 13, 2018 TIME: 19:00 - 22:00
Cybersecurity Innovation Night moderated by Dr. George Beridze
Dr. George Beridze joined KuppingerCole in 2017 as a Project Manager with the focus on Cybersecurity and Blockchain Identity. Previously he worked as Research Scientist at various institutions in Germany and Europe. He did his PhD in natural sciences, focused on computational modelling. He co-authored more than 20 research papers and is fluent in German, English, Russian and Georgian languages.
Cybersecurity Innovation Night Jury
Dr. Michael von der Horst
Welcome to Cybersecurity Innovation Night. Up to 8 presentations, 10 minutes each. Your talk will be rated by a Jury of industry, academia, technology experts, journalists and by the delegates. The overall winner will receive prize money AND will be considered for the presentation slot at European Identity and Cloud conference in May 2019.
Every year the number of cyber attacks is increasing. The types of targets include just about everyone, ranging from Fortune 500 companies, small and medium-sized businesses, critical infrastructure, and government agencies.
Cyber-attacks are becoming more sophisticated as well as growing in frequency. Up to a million new malware variants are created every day. Each new threat group can be significantly different from previous ones and can be used in damaging attacks around the world.
The Cybersecurity Innovation Night will focus on cutting-edge approaches and advanced solutions in the various areas of cybersecurity by utilizing Machine Learning (ML) and Deep Learning (DL) technologies. ML and DL have had many successful applications in image recognition and language processing, and now these techniques are the fastest growing trends in cybersecurity. These tools are gaining more traction in cybersecurity because they facilitate more efficient analysis and allow faster, automated responses to various threats.
The slam-style talks will present various approaches of combating cyber attacks and cybercrime using ML and DL techniques. Slammers will entertain and at the same time, try to convince the crowd that the world will be a safer place with their contribution.
• Introduce and describe Machine or Deep Learning approach in Cybersecurity
• Propose a new path for using ML & DL for Advanced Threat Protection
• Application of ML & DL technologies in User Behavior Analytics
• Detecting Zero Day Threats
• Adjusting to Live Threats and Complex Networks
We are not looking for “pitches” in a commercial sense where you try to look good in front of a group of investors.
Using slides for your presentation is optional.
As a presenter, you must be involved yourself in the work which you will be presenting to the audience.
Cybersecurity Innovation Night Agenda
|Tuesday, November 13, 2018|
Keeping Your Organization Secure: The Impact of Artificial Intelligence and Machine Learning on Identity & Access Management
Dr. Willem De Groef, Co-Founder, Elimity
The Red Team of ML: Adversarial Examples
Frederic Stallaert, Machine Learning Engineer/ Data Scientist, ML6
AI Can Save Lives, But You Need to Have a Proactive Cybersecurity Plan
Albert Stepanyan, CEO, Develandoo
AI Geared Cyber-defense at the Cloud Marketplace - A Game Changer
Dr. Doron Chema, CEO & Co-Founder, L7 Defense
Natural Language Processing (NLP) Applications in Cybersecurity
Ovidiu Ursachi, Cybersecurity Solutions Architect, Atos
Threat Intelligence Powered by Machine Learning
Josefin Ondrus, Software Engineer C&A, Recorded Future
Why AI Will Become Key for Cybersecurity
Martin Mangold, Head of Cloud Operations, DriveLock SE
Location / Hotels
9-11 New Square Park, Bedfont Lakes • TW14 8HA Feltham, Middlesex • United Kingdom