
Maya Derrick
Editor at Energy Digital
Editor | @EnergyDigital at @BizClikMediaGrp 🖋 Formerly @EveningNews @EDP24 🗞 | @Journalism_BU grad 🎓
Articles
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4 days ago |
technologymagazine.com | Maya Derrick
With quantum computing edging closer to mainstream reality, the threat it poses to traditional cryptography has become a pressing concern. In response, Colt Technology Services, Honeywell and Nokia have formed a collaboration to trial space-based quantum-safe cryptography, aiming to secure the future of global data communications against looming quantum threats. The quantum threatWhy is quantum posing a threat to traditional cryptography?
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4 days ago |
technologymagazine.com | Maya Derrick
Businesses regardless of size are facing an unprecedented surge in cyber threats, but SMBs — small and medium-sized businesses with fewer than 500 employees — are increasingly under fire. This is because attackers are targeting those that may lack the resources of larger enterprises. However, larger enterprises are not immune from these malicious actors.
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5 days ago |
technologymagazine.com | Maya Derrick
Carlsberg's brewing may be steeped in history, but that doesn’t mean tradition gets in the way of adopting cutting-edge technology. It has entered into a multi-year digital transformation journey with IBM as its System Integrator, enabling it to implement SAP S/4HANA across its Western European operations.
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1 week ago |
technologymagazine.com | Maya Derrick
Quantum computing is poised to revolutionise technology — but it also brings unprecedented cybersecurity risks. In this Q&A with Technology Magazine, Jesper Olsen, Chief Security Officer EMEA North at Palo Alto Networks and former NATO adviser, explains why the threat of “harvest now, decrypt later” attacks is already a reality.
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1 week ago |
technologymagazine.com | Maya Derrick
Salesforce US$8bn Informatica Deal to Drive AI-Driven GrowthWhy has Salesforce agreed to pay US$8bn for Informatica? The answer lies in a problem facing enterprise AI: most systems cannot understand their data below surface-level access. Most enterprise AI agents can access data but aren’t able to understand its origin, transformation history or quality status. This creates compliance risks and operational failures that have prevented large-scale AI deployment across regulated industries.
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