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Gartner Outlines Human-Centric Strategy for the AI-Native WorkplaceLatest
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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Vernon Yai, a renowned data protection expert with a deep focus on privacy and governance, joins us today to discuss the transformative potential of AI-powered document management tools like Adobe Acrobat Studio. With years of experience in risk
The digital landscape has fundamentally shifted from tools that simply process information to autonomous entities that inhabit our networks and execute complex business logic without constant human oversight. As enterprises move beyond the initial
The proliferation of artificial intelligence across the business landscape represents a profound paradigm shift, unlocking unprecedented opportunities for innovation while simultaneously arming cyber adversaries with dangerously sophisticated tools. This new reality has escalated cybersecurity from a departmental concern to a primary focus in the
The initial wave of generative artificial intelligence, defined by its remarkable ability to converse and create, has crested, leaving in its wake a new and far more complex challenge for the modern enterprise. The focus is no longer on simply building more powerful language models, but on harnessing them to perform meaningful actions and automate
Unveiling the AI Deployment Challenge In 2025, the artificial intelligence (AI) market faces a defining conundrum: where should AI workloads reside—on the edge or in the cloud? With global AI spending projected to surpass $300 billion annually, according to industry estimates, this decision shapes not only technological efficiency but also
Databricks Launches Lakewatch to Combat AI-Powered Threats
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