PKWARE Introduces Post Quantum Cryptography Architecture for Continuous Algorithm Updates

Jun 1, 2026
PKWARE has unveiled a post quantum cryptography architecture that enables continuous cryptographic algorithm updates through agent-based deployment, removing the need for manual migration projects.

PKWARE has introduced a post quantum cryptography architecture that allows continuous cryptographic updates through agent-based deployment, announced in a press release. The company redesigned its key management system so algorithm changes can be delivered through standard agent updates instead of lengthy migration projects.

The new architecture supports the full NIST post quantum cryptography suite, including ML-KEM, ML-DSA, and SLH-DSA, and aligns with the CNSA 2.0 standard. It provides hybrid encryption that enables both classical and quantum-capable systems to decrypt the same file without requiring a system cutover.

PKWARE stated that the architecture covers data at rest, unstructured content, endpoints, servers, SharePoint, and mainframes within a single framework. The company noted that production deployments are already in use at Fortune 100 scale, with more than one million files encrypted daily at a major financial institution.

According to PKWARE, the change simplifies operations for security teams by eliminating the need for manual migration when algorithms evolve, ensuring that cryptographic updates can be deployed as part of routine system maintenance.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Cybersecurity AI Weekly, AI Policy Brief or Daily AI Brief.

Also, consider following us on social media:

Cybersecurity AI AI Brief AI Brief (X)
Free newsletter

Cybersecurity AI Weekly

Weekly newsletter about AI in Cybersecurity.

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.