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With the ever-dynamic nature of today’s networks which permits users to move seamlessly from URLs to IP addresses, assets, cloud services, or applications, having a user and entity behaviour analytics (UEBA) service has become imperative to the security, integrity and continuity of one’s business. Without a UEBA-inclusive cyber defence system, hackers and malicious attackers can penetrate your archaic firewalls and remain hidden while obtaining sensitive information that will leave you with the consequences of a data breach.
The difference between UEBA and UBA
UEBA was previously called User Behaviour Analytics (UBA), which involved monitoring systems to track, collect and assess user data logs, behaviours and activities.
However, with the increasing threats from external sources and entities like routers, applications or servers that could be compromised, ‘Entity’ was included in UBA by the Gartner Market Guide as individual users weren’t the sole source of a compromise anymore. With UEBA security, cybersecurity experts can detect suspicious behaviours without needing predetermined patterns or rules. Here are more differences between both types of behavioural security analytics.
UEBA | UBA |
---|---|
UEBA is newer and was coined in 2015. | UBA is the older term. |
UEBA use cases monitor the activities of other entities like devices, applications, cloud assets, servers and individual users. | UBA use cases solely monitor the activities of individual users. |
More powerful and capable of detecting stealth and complex attacks. | It can only detect attacks from individual users. |
UEBA tracks a higher volume of data with complex reporting. | UBA tracks less volume of data. |
It uses machine learning and algorithms with advanced statistical analytics. | It uses only advanced analytics. |
There are multiple benefits of UEBA. Here are more reasons why your network needs user and entity behaviour analytics:
How Microminder’s UEBA Solutions Work?
This is why we integrate our UEBA tools with other cybersecurity systems like IOCs and SIEMs.
Microminder’s UEBA software functions in a similar premise to that of a credit card company. Through multiple uses, the credit card company identifies a spending pattern which becomes a baseline. If the card is stolen and used in a way that deviates from this baseline, the company will notify you to verify the transaction's authenticity; otherwise, the card will be blocked.
At Microminder Cybersecurity, we know that your IT security strategies need to be reinforced with user and entity behaviour analytics. This is why we integrate our UEBA tools with other cybersecurity systems like IOCs and SIEMs.
In the same vein, once installed, Microminder’s UEBA system conducts holistic analyses across several data sources by collecting user and entity data from the network’s logs. This data includes user roles, titles, access, permissions, security alerts, user activities across geographical locations, etc. Updates to the data, like promotions or added permissions, are also noted.
Through advanced analytical methods, big data algorithms, statistical analyses and machine learning, our UEBA system uses this data to perform behaviour analyses to establish a baseline behavioural pattern deemed normal or ‘optimal.’
With this baseline, our effective UEBA solution goes ahead to monitor all users and entities within the network environment to discover compromised identities. In essence, if an employee’s credentials get stolen, and the malicious attacker fails to mimic the precise digital behaviours of the said employee, Microminder’s UEBA compares both behaviours and triggers said behaviour as deviant. Once flagged, we will initiate our threat management protocols.
Microminder’s user and entity behaviour analytics service is one part of a multilayered, integrated IT defence strategy for the investigation and prevention of a broader range of cyber attacks. Its use in an organisation should be non-negotiable as it tremendously benefits one’s security posture by providing an updated line of security for assets against intrusive attacks.
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