One Article Review
| Source |  AlienVault Blog |
|---|---|
| Identifiant | 1871171 |
| Date de publication | 2020-08-19 17:03:00 (vue: 2020-08-19 22:12:55) |
| Titre | User and Entity Behavior Analytics (UEBA) explained |
| Texte | This blog was written by a third party author What is UEBA? User and Entity Behavior Analytics (UEBA) is an area of cybersecurity that focuses on analyzing activity – specifically user behavior, device usage, and security events – within your network environment to help companies detect potential insider threats and compromised accounts. While the concept has been around for some time, it was first defined in detail by Gartner in 2015 in its Market Guide for User and Entity Analytics. How Does UEBA Work? In essence, UEBA solutions create a baseline of standard behavior for users and entities within a corporate network and look for deviations to the baseline, alerting network admins or security teams to anything that could indicate a potential security threat. To do this, UEBA solutions collect live data that includes user actions (such as applications used, interactions with data, keystrokes, mouse movement, and screenshots), activity on devices attached to the network (such as servers, routers, and data repositories), as well as security events from supported devices and platforms. Advanced analytical methods are then applied to this data to model the baseline of activity. Once this baseline of behavior has been established, the UEBA solution will continuously monitor behavior on the network and compare it to the established baseline, looking for behavior that extends beyond an established activity threshold to alert appropriate teams of the detected anomaly. UEBA vs UBA Initially this technology was referred to simply as User Behavior Analytics (UBA). As the name implies, this concept focused exclusively on activity at the user level in order to indicate potential threats. However, Gartner later added the “entity” to reflect the fact that “other entities besides users are often profiled in order to more accurately pinpoint threats”. Gartner defined these other entities as including managed and unmanaged endpoints, servers, and applications (whether cloud-based, mobile-based, or on-premises based). This expanded scope then includes looking for any “suspicious” or anomalous activity that may be based on network traffic or requests sent from a specific endpoint to unusual ports or external IP addresses, operating system process behavior, privileged account activity on specific devices, the volume of information being accessed or altered, or the type of systems being accessed. By broadening the scope of its focus to cover non-human processes and machine entities, Gartner’s UEBA definition means UEBA can analyze both sources of data to gain greater context and insight around activity to produce a more accurate profile of the baseline of activity within an IT network. This results in the solution being able to more accurately pinpoint anomalies and potential threats, including things that would often have gone unnoticed by “traditional” security monitoring processes such as SIEM or DLP. Does SIEM offer UEBA? With many corporate security teams having already implemented security information and event management (SIEM) solutions, a common question is whether UEBA and SIEM offer the same protection. After all, they both collect security-related information that can indicate a potential or active threat. UEBA solutions typically include the following benefits: The ability to use behavioral baselining to accurately detect compromised user accounts Automation to create improved security efficiency The use of advanced behavioral analytics helps to reduce the attack surface by frequently updating IT security staff and network admins about any potential weak points within the network The key difference is that SIEM solutions are traditionally more focused on log and event data, which wouldn’t allow you to create a standard baseline of overall user and network environment beh |
| Envoyé | Oui |
| Condensat | “other 2015 ability able about accessed account accounts accurate accurately achieve actionable actions active activity added addresses administrators admins advanced after alert alerting all allow already altered analysis analysts analytical analytics analyze analyzed analyzing anomalies anomalous anomaly any anything applications applied appropriate are area around attached attack author automate automation based baseline baselining become becoming been behavior behavioral being benefits benefits: besides between beyond blog both broadening but can capabilities central cloud collated collect collected collection combine comes common companies compare compliance comprehensively compromised concept conclusive context continuously corporate could cover create cybersecurity data defenses defined definition depending detail detect detected deviations device devices difference differences different dlp does dss efficiency endpoint endpoints enough entities entity environment essence established etc event events exclusively expanded explained extends external fact familiar finding first focus focused focuses following format frequently from gain gartner gartner’s gathered gdpr given gone greater guide handling has have having help helps hipaa how however human identify implement implemented implies important improved incident include include: includes including increasingly indicate indicators industry information initially input insider insight insights interactions it’s its journey key keystrokes landscape later leading level line live log long look looking machine managed management many market may means methods mobile model monitor monitoring more mouse movement name need needed network non note number offer often once operating option order organizations other overall party pci pinpoint platforms points ports potential predict premises present privileged process processes produce profile profiled protection provide question range rather real reduce referred reflect regulations related relevant reporting repositories requests response results right routers same scope screenshots security see sent servers set should; siem similar simply solution solutions some sound sources specific specifically staff standard such supported surface system systems targeted teams technology then these thin things third threat threats threats” threshold through time traditional traditionally traffic two type typically uba uba ueba unmanaged unnoticed unusual updating usage use used user users value viable volume way weak well what whether which wide widespread will within work would wouldn’t written your |
| Tags | Threat Guideline |
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