Oracle this week announced improvements to cloud security services, leveraging the company’s advances in machine learning and artificial intelligence (AI) and contextual awareness technologies.
This includes introducing the new Adaptive Access capabilities into Oracle Identity Cloud Service intended for dynamic application access controls, advancing market-leading risk monitoring leveraging machine learning engines, and the expansion of Oracle CASB Cloud Service to help support Oracle SaaS solutions with automated threat detection.
In response to the increased frequency and breadth of incidents targeting both privileged and end-user credentials, Oracle is launching the new Adaptive Access capabilities to its leading Oracle Identity Cloud Service, which aims to bring a more sophisticated approach to access control. Adaptive Access applies dynamic risk context to associate the appropriate access controls for a given level of risk. Intuitive policy administration and standardized integrations with Oracle Identity SOC components makes Oracle Identity Cloud Service uniquely flexible to dynamically manage access risk.
Furthermore, Oracle CASB Cloud Service now utilizes both powerful supervised and surgical unsupervised machine-learning techniques for advanced threat detection. Its built-in user behavior analytics (UBA) engine automatically establishes unique historical baselines for each user and cloud service (Microsoft Office 365, Box, etc.) and continuously compares activity against these baselines to better detect anomalous and risky behavior. Upon detecting any deviations, Oracle CASB Cloud Service orchestrates incident response through a variety of options including integration with third-party ticketing and incident management systems, as well as native automated remediation.
Peter Barker, SVP, Identity and Security, Oracle
We are making a large investment in providing comprehensive security solutions that can help enterprises adapt, manage and strengthen their security posture against external and internal risks.
