Modernizing and Unifying Security Against AI and Quantum Threats

Cybersecurity faces a perfect storm of transformational technologies as AI and quantum computing both loom, arriving at the tail end of a cloud-adoption era that is still in flux.

Each of these transitions introduces new challenges for security. Cloud usage, which has evolved substantially during the past decade, has led some enterprises to build a patchwork of siloed security domains. Enterprises’ cloud footprints aren’t set in stone, either. Consider how AI is shifting workloads out to neoclouds or, in an appeal to security and sovereignty, to on-premises locations.

Meanwhile, AI itself requires feeding data into large language models (LLMs) and making it accessible to agents, processes fraught with vulnerabilities.As for quantum computing, it's years away from mainstream usage, but hackers can use a “harvest now, decrypt later” strategy to wait for the day when quantum computing can pick the locks.

Point solutions exist for each of these issues, but security needs a more permanent core, a unified approach that adapt to evolving threats.

Hardware Comes Into Play

This leadership brief considers the current cyber threat landscape, arguing that hardware security modules (HSMs) are a bulwark against a continually churning attack landscape. The catch is that HSMs must catch up to the world of DevOps and platform management, becoming software-driven and easy to control as a fleet. With such tools in hand, this moment becomes an opportunity for enterprise to simultaneously modernize and unify their disjointed security postures. One could argue that HSMs are not only relevant but urgently needed.

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