Thales builds cryptographic security for AI and post-quantum computing

Thales launches Luna 8, a new hardware security module (HSM) to provide future-ready, quantum resistant security to protect critical data and applications.

6 Min Read
Image from Thales Group

The threat of Harvest Now, Decrypt Later (HNDL) attacks was the top-cited risk, with 59% of organizations reporting that they are prototyping and evaluating post-quantum cryptography (PQC) algorithms to prepare for the quantum era, according to a report from Thales.

To help organizations turn this readiness into deployment, Thales launched Luna 8, its next-generation hardware security module. 

Designed for the transition to post-quantum cryptography, Luna 8 enables organizations to securely store, protect, and manage cryptographic keys with market-leading performance, scalability, and speed.

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As organizations face growing pressure from emerging quantum threats, expanding AI workloads and evolving stringent regulatory requirements, Luna 8 provides the performance, security and cryptographic agility needed to protect sensitive data, applications and digital identities.

“The risks that quantum computing poses to encryption standards are unprecedented,” said Todd Moore, VP of data Security products at Thales. 

“Enterprises need to build post-quantum readiness through cryptographic agility. Powered by our custom-designed cryptographic processor, Luna 8 delivers high-performance support for both current and post-quantum algorithms, while helping customers maintain control over security,” said Moore.

Jack Zhou, CIO at HKVAX, said the new quantum-safe HSM from Thales enables them to support multiple secure environments while simplifying operations and making more efficient use of their infrastructure.

The flexibility to support multiple use cases, applications and business needs over time helps us maximize hardware investments,” said Zhou. “The combination of predictable performance and high availability gives our IT and security teams the assurance they need to operate efficiently to deliver consistent service to our stakeholders.”

Michela Menting, VP of research at ABI Research, said integration, automation and scalability are increasingly important considerations for organizations modernizing their cryptographic infrastructure.

“Luna 8 combines support for post-quantum cryptography with the flexibility organizations need to adapt as security requirements constantly evolve,” said Menting.

Meanwhile, Thales found through research that organizations leading in AI security are also emerging as the organizations best prepared for the quantum era. This highlights a growing divide between technology leaders and laggards as concern over future quantum threats accelerates. 

Thales engaged 451 Research by S&P Global for a study of more than 3,100 respondents across 20 countries.

Results show that 61% of organizations now rank HNDL attacks as their biggest quantum security concern, while 59% regard prototyping and evaluating PQC algorithms as their top path to becoming quantum safe. 

Such findings suggest organizations are increasingly recognizing that quantum preparedness is no longer a future technology issue, but a strategic business priority. 

Yet the organizations pulling ahead are distinguished not simply by their investment in AI or quantum technologies, but by the stronger data, governance and cryptographic foundations they have built to support both. 

The research found that companies leading in AI security are also significantly more advanced in quantum readiness. AI leaders are more likely to be actively exploring quantum projects than their peers (33% versus 22%), while organizations leading on quantum are more likely to invest in AI-specific security controls (89% versus 80%). 

The findings suggest these organizations are succeeding because they have built stronger data, governance and cryptographic foundations. Rather than viewing AI and quantum computing as separate technology challenges, they are investing in the visibility, governance and security capabilities needed to support both. 

The study also found that organizations increasingly recognize the relationship between the two technologies. Almost all respondents (98%) said they are considering the impact of quantum computing and AI on one another. 

As AI becomes more deeply embedded across the enterprise, organizations increasingly recognize that it does not compete with quantum for attention – it increases the urgency of quantum readiness by accelerating attacks and increasing dependence on trusted cryptographic infrastructure. 

More than half believe quantum computing could enhance machine learning capabilities (57%) and improve the simulation of complex systems (54%), highlighting growing expectations that the technologies will evolve together rather than independently. 

As organizations navigate both AI-driven transformation and the emergence of quantum technologies, trust, resilience and security are increasingly becoming competitive differentiators rather than compliance requirements. The report suggests that the organizations building these capabilities today will be best positioned to innovate securely tomorrow. 

The research further suggests that organizations are increasingly moving beyond awareness and into preparation. Those already exploring quantum computing are further ahead on key post- quantum security initiatives, with 22% reporting they are ahead of schedule on public key infrastructure modernization, compared with 14% of laggards. 

Similar gaps were reported across certificate lifecycle management, enterprise key management and code signing programs.