Using interactive graph visualization we can see events unfold in the network at a glance, powering cyber threat analysis processes. Timeline visualization helps analysts understand the alerts across their cloud landscape, and detect malicious attacks., The concept is really simple: Make use of graph data structures and visualization techniques to represent then analyze it using graph analytics to unearth cybersecurity issues. This includes data such as network traffic, log files, and malware samples., By providing a clear picture of the threat landscape, visualization enables security teams to prioritize risks, allocate resources effectively, and implement targeted security measures. Through interactive and dynamic visualizations, security professionals can analyze data in real-time, spot anomalies, and respond swiftly to emerging threats., Graph theory facilitates the visualization of complex relationships within a network, making it easier for security teams to comprehend interactions and dependencies. Effective visualization, By leveraging machine learning algorithms and advanced visualization techniques, this approach ensures rapid identification of potential security risks, enabling proactive measures before, Cyber threat intelligence (CTI) enhances organizational cybersecurity resilience by obtaining, processing, evaluating, and disseminating information about potential risks and opportunities inside the cyber domain. This research investigates how companies can employ CTI to improve their precautionary measures against security breaches..