Machine Learning Algorithms help Oracle boost its Cloud Security service

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Oracle has made it official that its cloud security services portfolio is now powered by machine learning algorithms which offer adaptive access capabilities to users. Thus, the service addition helps Oracle users to apply dynamic risk context to determine needed access controls for a given level of risk.

California based Oracle company announced that it is taking the help of AI to boost the security feature on its cloud platform to mitigate cyber threats targeting both privileged and end-user credentials. The new software capability will help in orchestrating incident response through a number of options including integration with 3rd party ticketing and incident management systems along with a native automated remediation.

On an additional note, Oracle has notified to its users that it has integrated its Cloud Access Security Broker(CASB) with the Blue Coat Secure web gateway for managing cloud access. In the past, Oracle already added support for security platforms such as Check Point Software, Palo Alto Networks, Sophos, and Fortinet.

At the same time, Oracle’s CASB is now integrated with all Oracle’s Software as service applications in addition to Microsoft Office 365, Salesforce, Box, Google G-Suite, AWS, Git Hub and Rackspace cloud services. This will help security professionals gain a supervised mode while training CASB to identify potential threats at a time when there is a chronic shortage of trained IT security professionals.

Note- Oracle launched its cloud security portfolio for the first time in Nov 2016 with the name Identity SOC. Till April 2017, the company succeeded in winning the trust of more than 1 million users across the globe. And the customer’s list includes big names such as Levi Strauss & Company, Cyber risk and consulting company Agile, Ooyala video firm, Nomis Solutions and Pragmatyxs.

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Naveen Goud is a writer at Cybersecurity Insiders covering topics such as Mergers & Acquisitions, Startups, Cyber Attacks, Cloud Security and Mobile Security

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