Overview Quantum computing is opening new avenues for defeating existing encryption technologies.One potential consequence of ...

Businesses have lost control of a defined security perimeter due to dependence on “agentic” AI and hundreds of third-party SaaS tool ...

As cloud computing becomes more common, businesses have had to contend with the challenge of protecting sensitive data during processing. Confidential computing addresses this by keeping data in use ...

To safeguard enterprise data in hybrid cloud environments, organizations need to apply basic data security techniques such as encryption, data-loss prevention (DLP), secure web gateways (SWGs), and ...

SaaS providers claiming they can’t "see" user data is often a convenient myth rather than a reality. While privacy-preserving technologies such as end-to-end encryption exist, they’re limited to ...

Cloud computing has revolutionised the delivery of scalable and cost‐effective computational resources, yet this paradigm also introduces unique security challenges. Central to these challenges is the ...

Cloud computing administrators and their superiors probably have been asked at least once in their life, “What keeps you up at night?” An AI-overview answer (courtesy Google AI) came back with this ...

BRUSSELS, Jan 30 (Reuters) - France's privacy watchdog said on Thursday it will question DeepSeek to gain a better idea of how the Chinese startup's AI system works and any possible privacy risks for ...

Cohesity’s groundbreaking Direct I/O architecture transforms the future of data protectionBy Tracy Burrows for CohesityJohannesburg, 09 Feb 2026 Petter Sveum, EMEA CTO, Cohesity. Following the ...

Anonymization and pseudonymization are fragile. It becomes precarious when the political situation shifts. Discussion on EU Data Protection Day.