Network security is a difficult topic these days, with threats appearing quickly and everywhere. According to the study “Network Security Using Graph Embedding,” connections are visible when jumbled network data is transformed into transparent graphs. First-order graphs have direct node links, while second-order graphs have nodes that share neighbours. DeepWalk, Node2Vec, and sense-making tools. Node2Vec, choice-based, tight groups or large network view, and modified random walks. DeepWalk is a straightforward, sequential structure mapping method. Both embeddings are feasible in terms of network layout. A graph as opposed to the outdated equal-link techniques, Attention Network, GAT, and anomaly hunt use attention tricks for important connections. fresh activity in the dataset, labeled data, normal versus odd markers, and real-time data. Strange spikes, unusual nodes, rules established, and threats identified. In continuous networks, not data crunch for kicks, quick catch, hackers, or weak spots.