Natalia Semenova
Natalia is a cybersecurity professional with 15+ years of international experience in the industry. She started her career in the academic environment after achieving PhD degree in mathematical statistics and cryptography, but later transitioned into the corporate sector where she progressed from identity and access management developer to senior security architect at leading companies like Microsoft and Google. Currently Natalia is an independent security researcher and SSDLC expert working with leading automotive companies across the world to ensure highest level of trust for serial production road vehicles.
Session
As quantum computing advances, traditional cryptographic systems are increasingly vulnerable. Post-quantum cryptography provides a crucial solution to protect sensitive data across industries such as finance, healthcare, and government. This session will examine the impact of quantum computing on encryption, with a focus on "Harvest Now, Decrypt Later" attacks, where attackers exfiltrate encrypted data now with plans to decrypt it later using quantum technology.
The discussion will also highlight how artificial intelligence can enhance anomaly detection, enabling early identification of quantum-powered attacks. We will compare various artificial intelligence models, such as Isolation Forest and Autoencoders, to assess their effectiveness in detecting emerging threats. Furthermore, we’ll explore quantum-resistant encryption methods and cutting-edge technologies, including quantum key distribution, secure multiparty computation, and fully homomorphic encryption.
This session will demonstrate how artificial intelligence and post-quantum cryptographic techniques can fortify cybersecurity against future quantum threats. Attendees will leave with actionable insights on how to prepare for a quantum-secure future.