Oracle brings machine learning capabilities to cybersecurity
Oracle unveiled new machine learning applications for database and cyber security at Oracle OpenWorld 2017, the Oracle Autonomous Database Cloud and new automated cyber defense applications that detect and remediate attacks in real time.
Powered by Oracle Database 18c, Autonomous Database Cloud uses machine learning to enable automation that eliminates human labor, human error and manual tuning, to allow greater availability, high performance and security at a much lower cost, according to the company.
With no more scope for human error or requirements for human performance testing, Oracle said it’s able to minimize costly planned and unplanned downtime to less than 30 minutes a year and guarantee that organizations can cut their costs significantly.
“This is the most important thing we’ve done in a long, long time,” Larry Ellison, executive chairman and CTO of Oracle, said in a statement. “The automation does everything. We can guarantee availability of 99.995 percent, less than 30 minutes of planned or unplanned downtime.”
The Autonomous Database Cloud eliminates the human labor associated with tuning, patching, updating and maintaining the database and provides continuous adaptive performance tuning based on machine learning. It automatically upgrades and patches itself while running, and automatically applies security updates while running to protect against cyber attacks.
The cloud service handles different workload styles including transactions, mixed workloads, data warehouses, graph analytics, departmental applications, document stores and the Internet of Things (IoT).