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Empower your threat hunting team to pre-empt elusive attacks with anomaly detection powered by security AI to find insider threats, zero-day attacks, and APTs.
Oracle Security Monitoring and Analytics Cloud Service is a comprehensive solution designed to provide organizations with advanced threat detection and response capabilities. This cloud-based service leverages machine learning and artificial intelligence to analyze vast amounts of security data in real time, enabling proactive identification and mitigation of potential threats.
With Oracle Security Monitoring and Analytics Cloud Service, organizations can gain deep visibility into their entire IT infrastructure, including on-premises and cloud environments. The service collects and correlates security data from various sources, such as logs, network traffic, and endpoint telemetry, to provide a holistic view of the security posture. The product's advanced analytics capabilities of this service enable the detection of both known and unknown threats.
By applying machine learning algorithms to the collected data, Oracle Security Monitoring and Analytics Cloud Service can identify patterns and anomalies that may indicate malicious activities. This proactive approach helps organizations stay ahead of emerging threats and minimize the risk of data breaches.
In addition to threat detection, this service also offers comprehensive incident response capabilities. When a potential threat is identified, Oracle Security Monitoring and Analytics Cloud Service provides detailed alerts and actionable insights to guide security teams in their response efforts. The service also offers automated response actions, allowing organizations to quickly contain and mitigate the impact of a security incident.
The product is built on a scalable and resilient cloud infrastructure, ensuring high availability and performance. The service integrates seamlessly with other Oracle security products, such as Oracle Identity and Access Management, to provide a comprehensive security ecosystem.
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