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The Importance of Data Due Diligence in Business AcquisitionsLatest
Editorial
Data center decommissioning is a critical data protection challenge. It goes beyond physical demolition. For many organizations, infrastructure retirement disrupts operations, leading to issues like manual ticket generation and heightened security concerns. Yet with faster hardware refresh cycles, transitioning from legacy systems can become a streamlined process. When managed through a data protection lens, decommissioning supports corporate integrity and enhances both security and financial outcomes. This article explores how reframing decommissioning as a data protection imperative can improve governance and risk management. Turning Decommissioning into a Strategic Advantage Decommissioning in data protection is the secure, compliant retirement of IT infrastructure, ensuring all data is permanently erased before hardware disposal. It involves data sanitization, physical removal, and
Data breaches represent a growing financial threat, with the global average cost per incident exceeding $4.88 million in 2024 . That figure continues to increase as hackers exploit blind spots and employees unintentionally widen them. As data moves through cloud apps, vendor systems, and unmanaged devices, assuming it’s safe in one place creates more vulnerabilities. The implications are clear: sensitive information leaks lead to costly recovery efforts. But what can businesses do to reduce risk without disrupting business processes? This article outlines ways to leverage data protection to mitigate these growing risks. The Evolution of Information Security and Risk Management Traditional security models assumed trust based on network location, but the modern work environment requires a data-centered approach. Today’s method focuses on the details by analyzing context and enforcing
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Large enterprises are discovering that pouring billions into generative artificial intelligence without a robust cloud foundation is like trying to race a high-performance sports car through a dense, unpaved swamp. While the global appetite for
The rapid expansion of generative artificial intelligence across enterprise environments has created a critical friction point where the speed of model deployment often outpaces the fundamental ability of security teams to monitor sensitive data
Countless organizations now possess artificial intelligence models of astonishing power, yet many of these advanced systems remain stuck in pilot phases or fail to deliver on their transformative promise. The digital landscape is littered with stalled AI initiatives, not because the algorithms are flawed, but because they are being fed from a
Your backup system is not just an insurance policy; it is a direct reflection of your company’s operational resilience. Yet, many organizations treat it as a background utility, a check-box exercise in compliance. This is a critical error. According to the IBM Cost of a Data Breach Report , the global average cost of a data breach reached
A high-value corporate laptop sitting in a suburban garage after a 2026 project ended represents a silent but catastrophic failure in modern cybersecurity logic, effectively bypassing the most rigorous digital defenses. This device often retains active digital certificates, stored browser credentials, and privileged VPN profiles that grant the
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