The digital revolution has changed how we connect with others, but it has also led to cyberbullying. This troubling form of online harassment impacts millions around the world. Unlike traditional bullying, cyberbullying takes advantage of digital anonymity and the ability to spread quickly, causing lasting psychological harm. This paper looks at how social media monitoring tools have been developed and put into use to fight cyberbullying. We review detection methods that range from simple keyword systems to more advanced AI solutions. We also assess monitoring tools for various stakeholders and consider the ethical, legal, and technical challenges involved. Our findings indicate that while these tools have potential, their success relies on balancing important issues like privacy, reducing bias, and gaining user acceptance. We suggest research paths aimed at creating more effective, fair, and clear cyberbullying detection systems suited to different cultural contexts.