Traditional cybersecurity operated like a medieval castle—build high walls, guard the gates, and assume everything inside is safe. But modern analytics environments resemble bustling cities with millions of residents, visitors, and delivery vehicles coming and going constantly. The old perimeter-based security model crumbles when data flows freely between cloud services, edge devices, and third-party analytics platforms.
Managed IT services have evolved to address this reality through what experts call “zero-trust analytics security.” This approach assumes that threats can originate from anywhere—including inside the organization—and requires continuous verification of every user, device, and transaction touching the analytics infrastructure.
The shift becomes particularly crucial when considering that 94% of data and AI leaders report increased focus on data management driven by AI initiatives. This surge in data attention means more people, processes, and systems touching sensitive information, exponentially increasing the attack surface that security teams must monitor and protect.
