Your turn to open the black box!
Participate
Financial security
Protect users and institutions involved into financial transactions by improving online fraud detection mechanisms, wipers / cryptographers, hidden mining etc.
Machine learning in cybersecurity
Develop new methods to apply machine learning to improve CS technologies and narrow the damage caused by cyberattacks
Automotive security
Develop effective measures to improve smart car user’s safety: prevent controller area network attacks, GPS and other sensitive data leakage for both manned and unmanned vehicles.
Stages of the contest
25.10
2k19
25.10
2k19
—5.12
2k19
Primary Registration
Register online for the competition.
Submit detailed project description
or research abstract and project prototype. Add your team members if applicable. The expert jury will consider all projects and select the best for the finals.
Or participate in a local conference
find out moreFinals
Take part in the final event at the Kaspersky.Academy Partners Summit in Lisbon where you will pitch your idea to a board of experts!
Prize Fund
Kaspersky Security Analist Summit 2020
$10 000
Local Cybersecurity Conference
Meet our jury
Pavel Filonov
Research Development Group Manager (ML), Kaspersky
Kirill Shiryaev
Head of HR Marketing, Kaspersky
Alessio Aceti
Vice President, New Business & Innovation, Kaspersky
Sergey Novikov
Deputy Dir. GReAT, Head of EEMEA Research Center, Kaspersky
Final
All finalists of the contest will win a trip to Lisbon for the final event at Kaspersky.Academy Partners Summit!
December 4-5
2019
Venue: Lisbon, Lux Lisboa
Park Hotel