AI’s potential for innovation comes with equal parts vulnerability. Complex models, opaque algorithms and large data sets make it difficult to fully understand and secure their AI systems. Smaller businesses are often most exposed to data privacy issues and unauthorized tool use, while larger enterprises face adversarial attacks, compliance pressures and supply chain risks.
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Microsoft’s latest update to Copilot availability across Word, Excel, PowerPoint and OneNote is an important signal for enterprise leaders. More than a feature change, it clarifies the distinction between broadly available AI assistance and the premium, workflow-embedded experiences tied to Microsoft 365 Copilot licensing and deeper Copilot integration within core productivity workflows. Beginning April 15,…
Data Loss Prevention: Guardrails for a World of Data Sprawl and AI For many CIOs and IT Managers, Data Loss Prevention (DLP) has moved from a discretionary security control to an operational necessity. The drivers are familiar: increasing compliance pressure, accelerating AI adoption and growing concern about how sensitive data is governed as information spreads…
Healthcare organizations operate in a complex environment; stakes are high and there is no margin for error. Cybersecurity in healthcare is no longer just an IT concern – it directly impacts patient safety, regulatory compliance, and day-to-day operations. Protecting sensitive patient data, ensuring regulatory compliance, and supporting continuous care have never been more important. When organizations settle for “good enough” IT solutions (systems and support/delivery) that merely meet minimum standards, they open…
