Exabeam helps identify user and object anomalies and enables security teams to more efficiently detect, prioritize and investigate threats to cloud storage objects
FOSTER CITY, Calif., Oct. 29, 2020 – Exabeam, the Smarter SIEM™ company, today announced a major enhancement to the Exabeam Security Management Platform (SMP), enabling organizations to detect improper access of cloud storage objects and defend against threats to cloud-based data, such as attackers exfiltrating sensitive data or hosting malicious files. By ingesting audit data from Amazon Simple Storage Services (Amazon S3), Microsoft Azure Blobs and Google Cloud Platform Cloud Storage buckets, Exabeam can distinguish malicious activity from normal behavior and allow security analysts to easily identify and follow attacks on cloud storage objects before they lead to a security breach.
“Exabeam enables us to extend security to our cloud-based data,” commented Richard Clark, VP, global technical security at cxLoyalty. “By understanding normal activity for cloud storage objects, we can identify anomalies based on deviations from typical behavior and detect potential threats. This level of visibility will empower our security analysts to take the necessary steps to secure our cloud-based data.”
Exabeam now delivers enhanced visibility across cloud storage objects by monitoring and identifying malicious activity and behavioral anomalies from a single platform. Exabeam Smart Timelines place security alerts in the context of the user or cloud storage object they are associated with, so analysts are able to conduct rapid incident investigation and prioritize security alerts. Placing events in context ensures organizations can easily follow attacks that span between users and cloud storage objects.
Behaviors that Exabeam can help identify and investigate that aren’t detected natively include but aren’t limited to:
- Users who create or attach policies denoting universal access
- A user’s first time or abnormal access to cloud storage objects within an organization
- Abnormal amounts of data being sent from buckets
- Enumeration of cloud storage objects
- Additional irregular cloud admin activity
“As more organizations recognize the benefits offered by the leading cloud storage providers, they also need to prioritize updating their security posture to address risk factors, such as configuration errors, that can put their data at risk,” said Adam Geller, chief product officer, Exabeam. “By extending the capabilities of the Exabeam SMP, we are enabling organizations to detect user patterns across hybrid environments. This allows them to identify risk, mitigate its impact and maximize the value of these critical cloud services.”
To learn more, visit https://www.exabeam.com/product/exabeam-advanced-analytics/.
Exabeam is the Smarter SIEM™ company. We help security operations and insider threat teams work smarter, allowing them to detect, investigate and respond to cyberattacks in 51 percent less time. Security organizations no longer have to live with missed distributed attacks, unknown threats, and manual investigations and remediation. With the modular Exabeam Security Management Platform, analysts can use behavioral analytics to detect attacks and automate investigation and incident response. Exabeam Smart Timelines, sequences of user and device behavior created using machine learning, further reduce the time and specialization required to detect attacker tactics, techniques and procedures. For more information, visit https://www.exabeam.com.
Exabeam, the Exabeam logo, Threat Hunter, Smarter SIEM, Smart Timelines and Security Management Platform are service marks, trademarks or registered marks of Exabeam, Inc. in the United States and other countries. All other brand names, product names, or trademarks belong to their respective owners. © 2020 Exabeam, Inc. All rights reserved.
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