Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Cybersecurity research is advancing faster than ever but why do so many great ideas never make it into practice? In this episode of Server Room, we sit down with Mohammed M. Alani, Professor of Cybersecurity at Rochester Institute of Technology – Dubai, to explore the gap between academic research and real-world cybersecurity. We discuss how research shapes modern security, why industry and academia often struggle to work together, the role of AI in cybersecurity, and what it will take to build truly secure systems for the future.

AI is breaking modern encryption faster than expected by accelerating attacks on the mathematical problems that protect digital trust. That puts cryptography, secure communications and long term cyber resilience under real pressure as post quantum cryptography becomes more urgent.

AI coding is disrupting the SaaS market. GRC tools, CRM products and enterprise dashboards that cost hundreds of thousands can now be built internally in weeks using Codex and other AI models. SaaS companies know this is happening, which is why they're locking customers into three to five year contracts. But there's a serious security risk nobody is talking about. If you're vibe coding internal tools and applications, you need continuous security testing to catch vulnerabilities before attackers do. The faster you develop, the faster you need to detect breaches.