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User and entity behaviour analytics (UEBA) in cybersecurity means collecting and analysing how users and entities (devices, servers, applications, routers, appliances, etc.) behave within your organisational network.
UEBA tools use machine learning algorithms, behaviour analysis, statistical methods, and other advanced techniques to analyse behaviour. The tool establishes a baseline for normal or accepted behaviour for users and entities. Any deviation from this baseline indicates an anomaly, which could be a threat behaviour.
Here’s an overview of services as part of our UEBA security:
Our UEBA tool collects data from different sources, such as systems, devices, applications, etc. within your organisation’s network. The data includes user activity logs, application usage statistics (who used the app, for how long, how much data consumed, etc.), system logs, network traffic information, access history, and so on.
This data is fed into the advanced ML algorithms to analyse user and entity behaviour deeply. The end user behaviour analytics software automatically establishes a strong baseline of accepted or normal behaviour for each entity and user. It doesn’t stop there, the UEBA tool continuously performs user behaviour analysis and baselines safe user activities to detect emerging risks.
Our UEBA solution analyses the data it has extracted from various sources to spot deviations from normal behaviour. If it detects an unusual or suspicious user or entity behaviour, the UEBA tool alerts you in real time and triggers a threat response.
Unlike most tools in the market, our user and entity behaviour analytics (UEBA) comes with minimal false positives or negatives. For better accuracy, it also correlates data from different security systems, such as antivirus software, network firewalls, SIEM solutions, etc.
Advanced ML algorithms in our UEBA solution can flag even the most subtle deviations from the baseline with minimal false positives/negatives that traditional cybersecurity tools might miss. This helps you detect cyber threats, such as malicious insiders, shadow IT, data theft, advanced persistent threats (APTs), and compromised users or accounts.
Respond to threats proactively using the insights from the UEBA tool and minimise the damage. It provides you with detailed context into the threat behaviour, such as what users or entities are compromised, the root cause of a security incident, the intent and techniques of the malicious actor, and more.
Microminder’s user and entity behaviour analytics (UEBA) solution integrates smoothly with other cybersecurity tools from your tech stack to automate threat detection and response. Tools you can integrate with include:
This makes it a lot easier for you to correlate data to improve threat detection accuracy and remediate threats with deeper context and threat intelligence. You can also set up real-time automated responses, such as locking down accounts, isolating compromised systems, blocking or changing permissions, etc. This helps you respond to threats faster and saves the time and effort of your security operations centre (SOC).
Our UEBA software continuously performs network security monitoring and behaviour analysis on users and entities to detect more suspicious activities.
Another thing that differentiates our user and entity behaviour analytics (UEBA) tool from standard tools is precise risk scoring. The tool assigns a risk score to each anomaly based on how critical it is for your organisation. Based on this score, you can decide which risk to investigate and respond to first.
We provide extensive reports on each security incident, such as what sort of behaviour was flagged, in which system or user, and what assets were compromised. This helps you make better security decisions faster to be able to deal with an incident.
Insights from our UEBA tool help in long-term forensics and trend analysis to prevent similar occurrences in the future. These detailed reports are also valuable during compliance audits, preserving proof of your threat response capabilities and data protection efforts.
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Users secured globally
99%
Of our recent pen tests identified vulnerabilities
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Of them contained critical and high risks.
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Were access and authentication related issues.
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:
Still in doubt about adopting UEBA?
We’ll give you 5 reasons why you need our user and entity behaviour analytics (UEBA):
Stuck with reactive measures that detect threats AFTER they occur? You don’t have to. Use our AI-powered UEBA for accurate anomalous behaviour detection as soon as they appear. This proactive solution gives you an upper hand over the attacker, so you can neutralise threats before they harm you.
Eliminate attacks faster with UEBA’s automated responses, real-time alerts, and greater context into the incident. The tool also supports integrations with security tools, such as IAM, WAF, SIEM, etc. to improve threat response.
Comply with industry standards and regulations, such as UK GDPR, HIPAA, and SAMA, NIST with detailed reports outlining your data protection and threat response measures. Pass audits without hassles and avoid penalties and fines with our UEBA tool.
Increase your SOC’s efficiency with user and entity behaviour analytics (UEBA). Get real-time insights and automated incident response to save the time and effort it takes to address a threat. UEBA also monitors all users and entities in your network to help you stay on top of security incidents.
Strengthen your organisation's cybersecurity posture with our AI-based UEBA. This solution monitors suspicious behaviours accurately and alerts you in real time to speed up remediation. Its ML algorithms constantly learn behaviour from fresh data patterns to adapt to new threats and extend protection.
To start with our UEBA solution, follow these simple steps:
Contact Microminder CS to get started with our user and entity behaviour analytics (UEBA) solution. Once you do, we’ll set up a meeting to discuss the next steps.
During the discovery call, tell our experts the security challenges you face currently, the tools you use, the type of threats your network is exposed to, your security goals, and other details.
Once we have an idea about your security posture and your goals, let us come up with a solid plan. We will consider your organisation’s size, security objectives, volume of data at risk, and other factors to come up with a plan to implement UEBA in your organisation. We also present a customised quote according to your requirements.
As one of the best UEBA vendors in the market, we make it our responsibility to coordinate with your IT or security team while implementing the UEBA tool into your organisation.
Let the UEBA run in your network to collect data, baseline normal behaviour, and detect deviations. It will alert you automatically on detecting a deviation to address threats.
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Knowledge Anywhere
"Knowledge Anywhere is an eLearning award-winning company. We chose Microminder Cyber Security for our Web application Pen test due to their experience in the business and positive reviews as well as competitive prices.
The project experience went smoothly with above average communication and a clear task list. We would definitely recommend MCS to others as they are very thorough with a competitive timeline."
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BlackLine
"Thank you for the valuable work your team did on our maturity assessment of our incident response processes. The insights MCS provided were meaningful and have helped us better understand our areas for improvement. Thank you again for your partnership and support throughout the process."
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Leading provider of cloud software that automates and controls financial close and accounting processes
Monument RE
"Microminder Cyber Security were involved in the initial launch of our online platform and are well placed to move quickly as partners of Monument Re Group. The speed of delivery and communication levels give everything the company needs when working with partners.
The reviews that were undertaken are supported with real-time feedback on dashboards and are fully documented at the end giving full reports and remedial recommendations."
Monument RE
Monument Re Group is a Life Assurance Company
A.R.M. Holding
"Thank you for your exceptional efforts and unwavering support throughout the duration of the project. The support provided by the entire MCS team has been greatly appreciated, and I look forward to collaborating with you on upcoming projects. Thank you once again for your hard work."
A.R.M. Holding
Multi-focused economic enabler through local, regional and global investments.
Ready to remove anomalies and defend your systems and data? Try Microminder’s AI-based UEBA services.
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Please identify the answer you are seeking.
Endpoint detection and response (EDR) is about monitoring, detecting, and responding to various cybersecurity threats in endpoints, such as computers, servers, mobile devices, and other systems.
On the other hand, user and entity behaviour analytics (UEBA) is about detecting suspicious or abnormal activities in a network by users or entities (devices, applications, etc.) that might be a security threat, such as malicious insiders, APTs, and so on.
UEBA focuses on analysing the behaviours of network users and entities. But security information and event management (SIEM) focuses on collecting, analysing, and correlating data from various sources, such as IDS/IPS logs, firewall logs, antivirus software data, network traffic data, etc.
While UEBA uses statistical modelling and ML algorithms to analyse data, SIEM depends on pattern recognition and rule-based data correlation.
UEBA is an extension of the user behaviour analytics (UBA). In its acronym, UEBA adds an extra “E” for entities. Entities could be devices, systems, applications, IoT appliances, etc. connected in a network and exchanging information. UBA only analyses user behaviour but UEBA analyses the behaviour of both users and entities which attackers could compromise.
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