Data Loss Prevention
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
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
The long-standing debate over whether to build custom software or buy off-the-shelf solutions has defined enterprise technology strategy for decades, but the emergence of complex, multi-layered agentic AI systems has rendered this binary choice fundamentally obsolete. For today's Chief Information Officers, the question is no longer a simple fork