Conference Description
Key Takeaways
- Annual non-profit cybersecurity conference focused on AI security, held at Tel Aviv University
- Covers AI hacking, bug bounty methodologies, hardware security, cloud identities, and zero-day vulnerabilities
- Features technical talks, hands-on workshops, Capture The Flag competitions, and specialized villages
- Designed for security researchers, red teamers, SecOps practitioners, CISOs, and students
About BSidesTLV 2026
BSidesTLV 2026 returns to Tel Aviv University’s Smolarz Auditorium with the theme “Alice in AI Land.” The conference examines the intersection of artificial intelligence and security, focusing on both the risks and opportunities presented by AI technologies. As a non-profit event, BSidesTLV prioritizes community engagement and practical knowledge sharing over commercial interests.
Technical Focus Areas
The conference addresses AI security from both offensive and defensive perspectives. Core topics include AI hacking techniques, bug bounty methodologies, hardware security, cloud identity management, coding agents, and zero-day vulnerability research. Specialized villages provide focused environments for deep exploration of AI hacking, bug bounty hunting, and hardware security.
Format and Activities
The in-person event combines multiple learning formats. Technical talks cover emerging threats and defensive strategies, while hands-on workshops allow participants to develop practical skills. Competitive Capture The Flag challenges test offensive security capabilities in a structured environment.
Who Should Attend
BSidesTLV serves a broad spectrum of the security community. The event is relevant for security researchers, red team operators, incident response specialists, SecOps practitioners, GRC professionals, and CISOs. Academic researchers, military personnel, startup security teams, enterprise security departments, and students will also find applicable content. The program accommodates both hands-on technical practitioners and senior security leaders seeking to understand AI-related threats.