e& Joins MagicCube’s $10 Million Round for Post Quantum AI Security

Apr 28, 2026
e& capital has joined MagicCube’s $10 million funding round to advance software based post quantum security for AI, identity, and payments. The investment supports MagicCube’s Software Defined Trust platform for sovereign grade, hardware free protection across devices and clouds.

e& capital has joined MagicCube’s ten million dollar funding round to advance post quantum security for AI, identity, and payments, announced in a press release. The investment marks the second closing of the round, which previously included strategic investor Verifone along with Bold Capital Partners and Mosaik Partners.

MagicCube develops software based security that protects data and workloads across devices, cloud environments, and jurisdictions. Its Software Defined Trust platform provides a hardware independent trust layer for securing payments, digital IDs, and AI services on smartphones, kiosks, vehicles, and other connected devices.

The partnership with e& aims to strengthen digital trust infrastructure and support sovereign grade protection as more sensitive AI and identity workloads operate across cloud and edge environments. MagicCube said the collaboration will help governments, banks, and enterprises maintain control over how critical data and AI models are secured while meeting evolving regulatory requirements.

We hope you enjoyed this article

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

Also, consider following us on social media:

Cybersecurity AI AI Funding News AI Brief AI Brief (X)
Free newsletter

AI Funding Brief

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.