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Behavioralanalytics (predictive and prescriptive). Agile analytics (DataOps). Journey Sciences (using graph and linked data modeling). Context-based customer engagement through IoT (knowing the knowable via ubiquitous sensors). Real-time sentiment analysis and response (social customer care).
AIOps appears in discussions related to ITIM (IT infrastructure monitoring), SIEM (security information and event management), APM (application performance monitoring), UEBA (user and entity behavioranalytics), DevSecOps, Anomaly Detection, Rout Cause Analysis, Alert Generation, and related enterprise IT applications. will look like).
Software-based advanced analytics — including bigdata, machine learning, behavioranalytics, deep learning and, eventually, artificial intelligence. In my view, there are two key interrelated developments that can shift the cybersecurity paradigm. They are: Innovations in automation.
Internet of things (IOT) attack In an IoT attack, cybercriminals exploit vulnerabilities in IoT devices, like smart home devices and industrial control systems, to take over the device, steal data, or use the device as a part of a botnet for other malicious ends.
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