Security & Performance

Modern enterprise software architectures have evolved into intricate ecosystems where the line between internal development and external dependencies has become increasingly blurred, often leaving security teams oblivious to the actual code executing on their users' machines. This invisible layer,

The silent infiltration of unvetted intelligence tools into the corporate ecosystem has created an invisible data pipeline that threatens to undermine even the most robust cybersecurity defenses. This phenomenon, known as Shadow AI, involves the unauthorized use of artificial intelligence tools and

Matilda Bailey has spent her career at the intersection of high-speed connectivity and next-generation infrastructure, witnessing firsthand how the shift toward artificial intelligence is pushing traditional networking to its absolute breaking point. As organizations transition from small-scale

Matilda Bailey has spent years in the trenches of cellular, wireless, and next‑gen networking, guiding teams as AI workloads spill across clouds. In this conversation, she walks through pragmatic ways to collapse deployment from months to days, unify scheduling with Slurm‑on‑Kubernetes, and deliver

Boards see AI as the rocket engine for faster detection and response yet also as the spark that widens the attack surface overnight, a tension that now defines decisions on budgets, oversight, and acceptable risk. Security leaders are accelerating adoption to win on speed and scale, but they face a

Breaches rarely fail because an alert never existed; they fail because evidence was scattered, stale, or too noisy to trust. That is the enduring case for Security Information and Event Management (SIEM): a telemetry backbone that turns disparate events into coherent signals for detection,