This dissertation digs into some overlooked risks and security problems when data travels between edge setups and cloud spaces in hybrid environments. In most cases, there isn’t a one-size-fits-all security plan that really clicks with the quirks of both systems. The study uses a bit of everything, counting on numbers and chatting through stories to look at current protocols, jot down past breach mishaps, and peek at various performance figures. The results come through loud and clear, showing gaps in how we currently guard our data and making it obvious that stronger measures are needed to keep things intact and private as they move around. Interestingly, a custom fitted security plan seems to chop down risks notably, especially in healthcare, where sensitive patient info is always on the move. This work adds to the chatter on cybersecurity in these mixed edge cloud setups while also giving real-world methods for tech folks and decision makers to pick up solid security fixes that meet regulations and build trust in digital health tools. All in all, it isn’t just about upgrading technology; it points to the need for everyone involved to pitch in and create fresh security practices that can keep up with evolving threats in today’s complex data landscapes.