Data Loss Prevention
Enterprises worldwide are allocating billions of dollars to equip their teams with the latest generation of AI-powered personal computers, yet many are overlooking the critical variable that will ultimately determine the success or failure of this monumental investment: the people who will use them. The rush to adopt cutting-edge hardware,
The most significant data breach of the coming decade may have already occurred, with vast troves of encrypted information being silently siphoned and stockpiled for a future decryption day powered by quantum computers. This looming threat is not a distant, theoretical exercise for academics but an active and present danger to global enterprises.
In the rapidly evolving world of artificial intelligence, the clash between state-level regulation and federal oversight is reaching a boiling point. New York's recent passage of the Responsible AI Safety and Education (RAISE) Act places it directly at the center of this debate. To help us navigate this complex landscape, we're speaking with
Managed Service Providers (MSPs) frequently find themselves navigating a complex landscape where operational efficiency and robust security must coexist, a balance often disrupted by the logistical challenges of client onboarding and infrastructure management. A significant point of friction has traditionally been the network configuration
Healthcare organizations operating under the assumption that their data backup strategies ensure HIPAA compliance are unknowingly exposed to a catastrophic vulnerability. This critical oversight stems from a dangerous reliance on traditional backup systems that are fundamentally ill-equipped to detect the sophisticated, silent corruption tactics
In an increasingly fragmented digital landscape where personal and professional data is scattered across numerous devices and cloud services, establishing a coherent and trustworthy backup strategy has become a significant challenge for many. The common approach often involves a patchwork of solutions, from commercial cloud storage like Google