TALK ZONES
In 2024, OFFZONE offered 8 thematic zones
with select presentations. This page provides a brief overview of each of the zones
MAIN TRACK
The track features extensive talks on a variety of topics,
such as open-source technologies, AI and ML in cybersecurity,
parser vulnerabilities, or Wi‑Fi pentests. The OFFZONE opening and closing
ceremonies are also held here
FAST TRACK
A track with concise yet insightful talks. In less than 30 minutes,
speakers reveal key trends in cybersecurity, present research findings, share
their investigation experience, and more
August 23 only
THREAT.ZONE
Our new talk zone dedicated to current cyber threats. No theories
or assumptions, purely hands‑on practice: real‑life attacks, modern
tactics and techniques.
Here you can:
- learn about latest threats from leading cyber intelligence experts and independent researchers
- test your knowledge of the cyber threat landscape of Russia and other CIS countries and earn offcoins
August 23 only
AI.ZONE
This new zone aims to highlight best practices in the application
of AI and ML inside and outside the corporate environment. AI.ZONE is the place
to discuss problems and challenges of harnessing the new
technology. The speakers share innovative research and present real use cases
of AI and ML in cybersecurity
August 22 only
ANTIFRAUD.ZONE
One of the key content hubs at OFFZONE. This is where
leading experts from the financial, retail, and cybersecurity sectors
discuss how to combat fraud. Cybersecurity and antifraud professionals
talk about current industry trends and developments as well as methods
employed by cybercriminals. They also cover effective strategies to set up solid
protection against fraud
August 22 only
APPSEC.ZONE
This is the place to discuss everything and anything
related to application security. For those who like searching for tricky
vulnerabilities, enjoy participating in bug bounties, and just love those
pesky quotation marks in code.
Last year, there were loads of cool presentations dedicated to bug
hunting, authentication methods, language model pentests, and other topics
