The increasing demand from artificial intelligence workloads is driving a critical need for enhanced network security, and Qrypt’s Denis Mandich will address this intersection at the ONUG AI Networking Summit on May 14th. Mandich, co-founder and CTO of the quantum-secure encryption company, will participate in a panel discussing “Quantum Networking for Quantum-Safe Data Center Connectivity in Enterprise-Scale Environments,” focusing on the vulnerabilities of conventional cryptography as data volume increases. He will be joined by Kate Kuehn of World Wide Technology, Christopher Moretti of Evernorth Health Services, and Susan Koski, formerly EVP, Chief Information Security Officer at PNC, to explore how quantum-safe architectures can complement existing security models. The session, scheduled for 2:15 PM CST, aims to pinpoint operational challenges on high-speed links and offer practical solutions for enterprise-scale data centers.
Qrypt CTO Mandich Speaking at ONUG AI Networking Summit
The escalating demands of artificial intelligence are simultaneously increasing data transmission speeds and attracting malicious actors, prompting a reevaluation of data center security protocols. The panel will pinpoint operational challenges associated with current security models and explore how quantum-safe architectures can offer complementary protection. Koski’s previous role at PNC provides a unique perspective on the difficulties of transitioning legacy systems, offering insights beyond theoretical discussions. The summit’s promotional material explains that “As AI workloads accelerate, the volume of data moving across enterprise networks attracts attackers,” highlighting the urgency of the conversation. This session concentrates on the networking infrastructure within data centers, a critical but often overlooked aspect of quantum-safe implementation. The discussion, scheduled for 2:15 PM CST at the Hyatt Regency Frisco in Dallas, Texas, will explore practical hurdles faced by large organizations seeking to secure their data in an era of increasingly sophisticated threats.
The increasing demands of artificial intelligence are placing strain on enterprise data center networks, simultaneously elevating the risk of cyberattacks and exposing vulnerabilities in established encryption methods. Koski’s previous role offers a unique insight into the difficulties of securing legacy systems during transitions to new security models, a critical consideration for organizations already heavily invested in existing infrastructure.
As AI workloads accelerate, the volume of data moving across enterprise networks attracts attackers.
