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Silent Ransom Group Extorts Over $200 Million via Data TheftLatest
Editorial
Many enterprises treat data backups as an infrastructure formality. Once the budget is allocated and systems are configured, it is easy to assume the problem is solved. But when a ransomware attack hits, or a cloud platform suffers an outage, that assumption becomes expensive very quickly. According to IBM’s 2026 report , the global average cost of a data breach has reached $4.99 million, a 12% increase from last year. Rising detection, escalation, and lost business costs are driving the record high, and the numbers far surpass the investment required to prevent them. This article examines where backup strategies typically break down, what the operational and financial consequences look like, and what a more defensible approach requires. Backup Practices That Create the Illusion of Safety Data backups are integral to data protection strategies. The trouble starts when organizations

Ten minutes. That is how long a firewall was deactivated during an ElasticSearch migration before malicious actors accessed more than five billion data records. The breach did not result from a sophisticated attack. It resulted from a momentary deviation from established security protocols during a routine infrastructure transition. The consequences were financial and reputational, and addressing them required sustained effort across legal, operational, and communications functions. For B2B leaders, this incident highlights a point that is difficult to dismiss: data protection is no longer primarily about defending against external threats. It is about maintaining a governance framework that holds across every stage of the data lifecycle, including the moments when systems are most exposed, such as during migrations, transitions, and decommissioning. This article explores what that
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SaaS-based backup platforms eliminate the need for physical appliances while providing default air-gapping for remote workforces and distributed endpoint data. The landscape of enterprise data protection has reached a pivotal turning point in 2026, moving far beyond the traditional methods of simple data duplication. In this high-stakes digital
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By automating complex workflows, organizations can significantly reduce the potential for human error when setting up processing steps for large batches of hardware. This advancement comes at a time when managing the end-of-life process for tens of thousands of corporate servers and mobile devices has become a labor-intensive endeavor defined by
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