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As the industry grapples with the threat of major security breaches, like the one that occurred at Equifax and exposed the personal identifiable information of millions of U.S. consumers, Oracle is banking on artificial intelligence (AI) technologies to help enterprises better protect their sensitive data.
On Oct. 1, Larry Ellison, Oracle's founder and former CEO, teased a new a cybersecurity service that automatically detects threats when they occur, triggering defensive capabilities in the Oracle database little to no human intervention. Two days later, the company unveiled a collection of AI-enabled solutions, comprised of the Oracle Identity Security Operations Center suite and Oracle Management Cloud.
Using machine learning techniques, the solutions gather and analyze security and operational telemetry, detecting anomalies faster and more thoroughly than is humanly possible, and setting off automated remediation if necessary.
Oracle Identity Security Operations Center uses the company's new Security Monitoring and Analytics Cloud Service for user and entity behavioral analytics (UEBA) and security incident and event management (SIEM). Oracle Management Cloud provides telemetry and logging while the Oracle CASB (Cloud Access Security Broker) Cloud Service monitors activity for threat detection purposes. Finally, Oracle Identity Cloud Service provides identity management.https://o1.qnsr.com/log/p.gif?;n=203;c=204650394;s=9477;x=7936;f=201801171506010;u=j;z=TIMESTAMP;a=20392931;e=i
Meanwhile, Oracle Management Cloud incorporates the company's Application Performance Monitoring Service and Infrastructure Monitoring Cloud Service, providing real-time monitoring and outage prevention, said the company.
Taken altogether, they can help organizations prevent headline-grabbing breaches.
Prakash Ramamurthy, senior vice president of Security and Systems Management at Oracle, made the case for new approaches to enterprise security, given the rapid pace of software innovation. "In the past few years, we've witnessed explosive growth in the rate of application change, as well as in the sophistication of security threats, which together have completely overrun traditional rules-based, siloed enterprise approaches to security and management," said the Oracle executive in an Oct. 3 announcement.
Ramamurthy added it was Oracle's "goal was to make this process as seamless as possible for customers by building a powerful, cloud-native suite that marries a comprehensive, unified data tier with intelligence provided by purpose-built machine learning."