McAfee, the device-to-cloud cybersecurity company, has launched McAfee Enterprise Security Manager (ESM) Cloud
ESM Cloud is a cloud-based security and information event management (SIEM) offering support for a security operations team’s detection, response to incidents, and threat hunting activities.
McAfee ESM Cloud, as a cloud-based solution, extends the value of a traditional SIEM by providing faster on-board security telemetry, automatic updates and continuous system health monitoring.
Anand Ramanathan, vice-president of enterprise products, McAfee, said, “ESM Cloud helps customers tackle these challenges, allowing them to maintain and improve upon their security posture as they progress through their journey of transitioning to the cloud.”
McAfee ESM Cloud leverages cloud computing power to speed up time to value security operations centres by:
Advanced analytics: Real-time and historical analysis powered by rich contextual data to detect and prioritise threats, detect anomalous user behaviour and respond to attacker tactics, techniques and procedures (TTPs)
Time to value: Use case-focused security content packs that deliver immediate value through pre-built threat detection rules and full operational dashboards, reports, alarms and watch lists
Unmatched data source coverage: Out-of-the-box coverage of 100’s of endpoint data sources, network and cloud based services and applications
Open integration fabric: Open interface facilitates integration with McAfee and third-party solutions for immediate threat response
Simplicity and operational efficiency: Self-supply allows ingestion of events from day one and improves efficiency by minimising the engineering efforts needed to deploy and maintain the infrastructure
Continuous improvement: Automatically delivering new capabilities and enhancements, freeing customers from the burden of software updates and upgrades
Scalability and elasticity: Cloud-based service supports dynamically changing customer requirements, automatically increasing the scale and the ability to process large amounts of data.