AI has rewritten the enterprise data playbook. Workflows no longer just create temporary operational data, but vast amounts of high-value assets, from LLM training datasets and model outputs to logs, metadata and archived knowledge that may need to be preserved for years.
Director of EMEAI Field Engineering at WD (Western Digital).
As enterprise tech leaders seek to scale infrastructure to meet these demands, storage requirements are undergoing a fundamental shift. Capacity and performance remain critical, but data security has become equally important. Today, long-term data integrity and absolute cyber resilience carry equal weight.
Protecting this data, however, is no longer just about defeating today’s threat vectors. It requires preparing storage infrastructure for a significant shift: the arrival of quantum computing.
Latest Videos FromTechRadar
Data is a long-term strategic asset, not a short-lived trend
AI is accelerating data growth, but it can also extend the useful life of information. Data recorded today will be harvested for compliance, advanced analytics and model retraining for years to come.
To manage this economically, enterprise architectures rely heavily on high-capacity HDDs. While flash technologies dominate performance-critical hot tiers, HDDs remain the undisputed backbone of large-scale storage, providing the capacity, economics and longevity needed to archive data at scale.
As a result, organizations must consider how to protect not only today’s data, but also its future value. After all, if the underlying infrastructure is compromised down the road, the very assets driving future AI innovations become the biggest operational and regulatory liability.
Harvest now, decrypt later
Current encryption technologies remain effective against conventional threats. However, quantum computing is expected to challenge some of the cryptographic methods used for authentication and key exchange.
This has led to concerns around “harvest now, decrypt later” attacks, where encrypted data is collected today with the expectation that future quantum capabilities could potentially decrypt it later.
For organizations storing sensitive intellectual property, research data or AI training datasets, this means security decisions made today could have implications for years to come.
Preparing for that future requires action from security leaders and IT directors now.
Security must be built into the infrastructure
Security is often viewed through the lens of data encryption, and with good reason. Self-encrypting drives (SEDs) provide always-on, hardware-based AES-256 encryption that helps protect data at rest without impacting performance.
But protecting data alone is no longer enough.
Storage devices themselves must be trusted. Firmware, authentication mechanisms, provisioning processes and diagnostic tools all play a role in ensuring a drive operates securely throughout its lifecycle.
If attackers compromise a device’s firmware or trust architecture, broader security controls can be undermined regardless of how data is encrypted elsewhere in the system. This makes storage security a critical component of overall cyber resilience.
Implementing quantum-resistant defenses in storage
To counter these emerging attack vectors, the storage industry is actively embedding post-quantum cryptography into hardware architecture of enterprise hard drives. Rather than focusing solely on protecting data, the objective is to protect the trust architecture that underpins the drive itself.
Post quantum cryptography (PQC) technologies are being incorporated into areas such as secure key establishment, firmware authentication, secure provisioning, and trusted diagnostics. These capabilities are designed in alignment with established NIST post-quantum standards and are implemented using hybrid approaches that combine classical cryptography with quantum-resistant algorithms.
In practical terms, this means that the mechanisms responsible for establishing trust, validating firmware integrity and protecting administrative functions can remain resilient against both conventional and future quantum-enabled attacks. With the operational service life of HDDs often spanning 5 years (or more), implementing PQC today helps protect against quantum-based threats that may not materialize for several years, but that we know are coming.
Importantly, HDDs have long incorporated security controls to defend against today’s threats. PQC does not replace these protections; it enhances them by adding an additional layer of resilience against emerging attack vectors.
Trust in the AI era
For many years, storage innovation was primarily defined by increases in capacity. Today, the expectations placed on infrastructure are much broader.
Organizations seek storage platforms that can scale with AI-driven data growth, deliver reliable performance, preserve integrity over long retention periods and withstand an increasingly complex threat environment.
PQC represents an important step in that evolution. By extending protection beyond data encryption and into the trust mechanisms that underpin storage devices themselves, PQC-enabled HDDs help organizations prepare for the security challenges of tomorrow while protecting the data they manage today.
As AI continues to elevate the strategic value of enterprise data, security can no longer be a short-term, reactive consideration. Trust must be engineered directly into the hardware layer and built to outlast the threats of today, tomorrow and the quantum era ahead of us.
This article was produced as part of TechRadar Pro Perspectives, our channel to feature the best and brightest minds in the technology industry today.
The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc. If you are interested in contributing find out more here: https://www.techradar.com/pro/perspectives-how-to-submit
