What problems is Exabeam New-Scale Platform solving and how is that benefiting you?
What we needed most was not simply another platform generating alerts, but a way to better understand behaviour, context, and risk across users and entities.
In a complex enterprise environment, the real challenge is rarely a lack of security data. We already have large volumes of telemetry coming from endpoints, identity, cloud, network, and other security technologies. The difficulty is correlating that information quickly enough to separate normal activity from behaviour that genuinely deserves investigation.
Exabeam New-Scale Platform helps us address this by adding a strong behavioural analytics and UEBA layer to our security operations. It enables our analysts to view activity as part of a behavioural sequence, rather than evaluating each event in isolation.
This is particularly valuable for use cases such as compromised accounts, suspicious authentication patterns, privilege misuse, lateral movement, insider-risk scenarios, and other identity-related anomalies. In these situations, individual events may look legitimate on their own, but become far more relevant when correlated over time.
From an operational perspective, the main benefit is improved prioritisation and faster investigations. Analysts can start with a higher-risk user, entity, or behavioural timeline and quickly gain context on what happened before and after an alert. This reduces the amount of manual correlation required across different security tools and helps the SOC focus on situations that are more likely to represent a real security issue.
For us, this matters because the objective of a modern SOC is not to process more alerts; it is to make better decisions with the telemetry already available.
Exabeam therefore complements our broader security ecosystem by turning large volumes of security events into something closer to an investigation narrative. The value is not only in detecting an anomaly, but in helping analysts determine whether that anomaly is part of a broader behavioural pattern and whether it represents meaningful risk for the organisation.
Ultimately, the benefit has been improved visibility, investigation efficiency, and analyst decision-making, especially in scenarios where identity and behaviour are central to understanding an attack. Review collected by and hosted on G2.com.
