An international cybersecurity client recently partnered with RiverSafe to enhance its digital security infrastructure due to several critical challenges with its existing systems.
The client found that their current SIEM (Security Information and Event Management) solution inundated the security team with numerous false positives, making it difficult to identify actual threats. Furthermore, without a User and Entity Behaviour Analytics (UEBA) system, they struggled to detect insider threats and data breaches, revealing potential weaknesses in their security framework.
Key security challenges
The client faced three paramount issues with its cybersecurity system. First, there was a significant problem with identifying insider threats and unusual user behaviour due to the absence of a UEBA solution.
Secondly, security analysts were overburdened with manual event correlation and incident investigation, slowing down incident response times and inefficiently using resources. Lastly, the existing SIEM system's overwhelming alert volume caused alert fatigue, complicating the identification of real threats amidst numerous false alarms.
Customised solution implementation
Exabeam’s platform enriches incident control by automating the correlation and enrichment of security events
To tackle these issues, RiverSafe devised a tailored implementation plan in collaboration with the client’s security team. RiverSafe's experts assessed the current infrastructure, defined project requirements, and strategised desired outcomes. The resulting solution involved adopting the Exabeam Fusion SIEM platform, which was identified as a fitting answer to the client's primary cybersecurity concerns.
Exabeam’s platform enhances incident management by automating the correlation and enrichment of security events, thus providing actionable insights and real-time alerts for quicker threat identification.
Addressing the company's lack of UEBA, Exabeam's machine learning algorithms establish baseline behaviours for users and systems, alerting analysts of any deviations. Additionally, the platform integrates seamlessly with various data sources such as firewalls, servers, and network devices, ensuring comprehensive organisational visibility.
Significant outcomes
The transition to Exabeam’s Fusion SIEM has delivered substantial benefits. The incorporation of behavioural analytics and machine learning has led to more accurate threat detection capabilities, allowing analysts to handle incidents more effectively. The solution’s real-time alerts and automated incident enrichment have accelerated the incident response process, reducing the potential impact of security breaches.
Enhanced event analysis has decreased the number of false positives, alleviating alert fatigue and enabling analysts to dedicate more attention to genuine threats. Moreover, the advanced behaviour analytics provided by Fusion SIEM have improved the detection of insider threats by identifying unusual user activities and deviations from typical behavioural patterns.
With an extensive network of customers spanning the globe, cybersecurity is a primary concern for our client. Protecting extensive infrastructure and customer data requires a robust cybersecurity posture and effective tools, but the team found its SIEM solution lacking. Flooding its security team with an unmanageable number of false positives, the solution was diverting attention away from genuine threats and leaving them vulnerable.
A substandard SIEM solution was not the only security issue. With no UEBA platform in place to help detect insider threats and data breaches, the company was faced with a number of gaps and weak spots in its security infrastructure that needed to be addressed.
Three key issues
The biggest concerns centred around three key issues:
- A lack of insider threat detection: Without a UEBA solution, the company had difficulty identifying insider threats and anomalous user behaviour within the network.
- Time spent on manual investigation: Security analysts spent significant amounts of time manually correlating events and investigating incidents, leading to delays in incident response and inefficient use of resources.
- Alert fatigue: The company’s existing SIEM solution generated a high volume of alerts, making it challenging for analysts to identify genuine threats among the many false positives.
The solution
The company engaged with RiverSafe to create a bespoke implementation plan that would address its primary issues and properly secure its digital infrastructure. Working in collaboration with the in-house security team, RiverSafe got to grips with existing infrastructure, gathered requirements and outlined the desired outcomes of the project.
With all challenges and end goals collated, the RiverSafe team developed a solution that would meet all requirements and eliminate current security weaknesses. The team suggested Exabeam’s Fusion SIEM platform as it addressed the key concerns:
- Incident management: Delivering streamlined incident management processes by automating the correlation and enrichment of security events, Fusion SIEM equips analysts with actionable insights and real-time alerts. This improved visibility helps analysts hone in on genuine threats more quickly and reduce response times.
- Behaviour analytics: Tackling the company’s lack of UEBA issue, Exabeam’s advanced machine learning algorithms were configured to establish baseline behaviour for all users and systems. Any deviation from this baseline alerts analysts, enabling them to investigate anomalous activities and potential security issues, including insider threats.
- Data integration: The platform was integrated with various data sources, including logs from firewalls, servers, applications, and network devices to ensure comprehensive visibility across the organisation’s infrastructure.
The outcome
The implementation of Exabeam’s Fusion SIEM solution has yielded significant benefits, including:
- Enhanced threat detection: Exabeam’s behavioural analytics (AA) and machine learning (ML) capabilities have improved the accuracy of threat detection, enabling analysts to identify and respond to security incidents more effectively.
- Faster incident response: Exabeam’s automated incident enrichment and real-time alerts are helping the security team to respond to incidents promptly, minimising the impact of potential breaches.
- Reduced alert fatigue: The platform’s next-generation event analysis capabilities have reduced the number of false positives generated, reducing alert fatigue and giving analysts more time to focus on genuine threats.
- Improved insider threat detection: With its advanced behaviour analytics, Fusion SIEM is enabling the team to detect insider threats by identifying abnormal user activities and deviations from established behavioural patterns.
