Deep Learning, Machine Learning, Artificial Intelligence and all that is required for Swift Threat Detection and Response. Even though single purpose log management tools and SIEM software offer important security info, they require time-consuming and costly integration efforts involving import of log files from multiple disparate sources like endpoint agents, asset inventory, IDS products, vulnerability assessment etc. That is not all, you must also research and write various correlation rules for effective threat identification in the environment. All such challenges multiply many times when you’re migrating services and workloads from an on-premises environment to public cloud.
Hence, the money and time required for SIEM deployment becomes a roadblock for timely threat detection, and eventually ROI. This doesn’t work very well for the already resource-strapped IT teams. As against the other SIEM software, AiCyberwatch integrates the powerful log management and SIEM capabilities with several important security toolsSOAR, EUBA, NBAD, NTA, Threat Intelligence, , vulnerability assessment , asset discovery and more, to provide you with effective security monitoring of endpoints and networks in your on-premises and cloud environments, from one single place.