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Are Small IT Mistakes Your Biggest Cyber-Risk?Latest
Editorial
Cloud security teams are grappling with a fundamental paradox. While their environments become more dynamic and complex, the tools they rely on often provide a lagging, incomplete picture of risk. Many third-party security platforms depend on public APIs to gather data, creating an inherent delay and a critical visibility gap. This approach is like trying to secure a fortress by only watching the front gate. True cloud protection requires more than surface-level observation. It demands deep, native integration into the cloud fabric itself, providing the context and control needed to orchestrate fixes, not just flag alerts. The distinction is critical: API-based tools report on the past, while natively integrated security operates in the present. As organizations move faster, this gap is where risk finds a foothold. Agentless Scanning: Closing the Ephemeral Asset Gap Exploiting software

For years, achieving General Data Protection Regulation (GDPR) compliance was the gold standard for data protection. Today, it is merely the starting point. With over 130 countries now enforcing their own data privacy laws, organizations operating on a global scale face a fractured and increasingly complex regulatory landscape. Relying solely on GDPR compliance now exposes organizations to operational and reputational risk. The challenge extends far beyond legal frameworks. It strikes at the heart of operations, dictating where data can be stored, how it can be transferred, and what rights individuals have in different jurisdictions. Data protection leaders must implement scalable, cross-border programs that integrate privacy, security, and compliance into everyday operations. The Fractured Global Data Protection Landscape The rapid expansion of data protection regulations has created a
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The global digital infrastructure is currently navigating a period of unprecedented volatility where the boundary between physical safety and virtual security has effectively vanished. As sophisticated threat actors transition from simple data theft
The theoretical vulnerability of elliptical curve cryptography to advanced computational threats has evolved from a distant concern into a measurable market variable that dictates current institutional strategies. As quantum hardware continues to
The silent shift from software that suggests to software that executes marks the most consequential change in enterprise architecture since the massive corporate migration toward cloud-based infrastructure. While the initial wave of generative technology focused on chatbots that could summarize text or generate images, the emergence of agentic
In a world racing toward massive, cloud-based AI, data protection expert Vernon Yai champions a different path—one built on resilience, privacy, and precision. With a deep background in risk management and data governance, he argues that the future of enterprise AI lies not in a single, all-knowing oracle, but in a distributed network of small,
The widespread, unsanctioned use of artificial intelligence tools by employees, a phenomenon known as "Shadow AI," is often misdiagnosed as a simple security failure or compliance breach. In reality, it represents a profound signal that employee workflows, productivity, and innovation are evolving at a pace that far outstrips the capacity of
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