Your trusted online source for Data Security and Management Information
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
Popular
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
Vernon Yai is a distinguished authority in the realm of data protection and enterprise AI strategy, recognized for his deep expertise in navigating the complex intersections of data governance and emerging technologies. With a career focused on building resilient risk management frameworks, he has become a pivotal voice for organizations
The modern healthcare landscape relies heavily on a complex web of third-party vendors and consultants, but this interconnectedness often creates hidden vulnerabilities that can expose millions of patient records to unauthorized access. Strauss Borrelli PLLC, a law firm specializing in data privacy litigation, has launched a formal investigation
As a leading expert in data protection and privacy governance, Vernon Yai has spent his career at the forefront of risk management, developing innovative techniques to safeguard our most sensitive information. In an era where AI platforms are built and deployed with breathtaking speed, often prioritizing growth over security, his insights have
Databricks Launches Lakewatch to Combat AI-Powered Threats
Speagle Malware Hijacks Cobra DocGuard for Espionage
SAP Acquires Reltio to Power AI-Ready Enterprise Data
What Can Sora’s Sunset Teach CIOs About AI Vendor Risk?

