Michael DeCesare, CEO
Digital transformation, cloud migration, and enterprise mobility initiatives have eroded enterprise boundaries and dispersed data across on-premises systems, cloud infrastructure, and mobile devices. Security organisations now have so much data that it is not uncommon for them to spend up to half of their time collecting, normalising, logging, loading, and indexing it for analysis. At this juncture, Exabeam a global cybersecurity leader adds intelligence to every IT and security stack to help enterprises overcome security challenges.
Exabeam reshapes how security agencies use analytics and automation to solve threat detection, investigation, and response (TDIR) problems ranging from common security threats to the most critical and difficult-to-identify threats. The Exabeam Security Operations Platform is a comprehensive cloud-delivered solution that uses machine learning and automation to deliver TDIR in an authoritarian, outcomes-based manner. It is intended to assist security teams in detecting external threats, compromised users, and malicious adversaries, reducing false positives, and making security success the norm.
The company uses Advanced Analytics to baseline regular activity for users and entities in order to detect deviations from that baseline, a peer group's baseline, and the organisation's baseline. Exabeam's machine-built Smart Timelines stitch together both normal and abnormal behaviour for users and machines, including IoT devices and cloud storage objects, for all anomalies detected, and its pre-built timelines automatically reconstruct security incidents. Moreover, it extends behavioural analytics to cloud storage objects by logging activity from them and detecting malicious user activity to help prevent compromise or exfiltration of sensitive data stored in the cloud.
Exabeam, by mapping detection methods and event labels to the MITRE ATT&CK framework, allows security analysts to view and filter MITRE techniques within its Smart Timelines. It assigns users to groups based on their behaviour, baselines regular activity, and analyses user activity against the groups to identify anomalous behaviour. The company tracks attacks as they move laterally by changing devices, IP addresses, or credentials. Its behavioural analytics spot anomalies and Smart Timelines™ visualise the attack chain, without gaps, where lateral movement may have occurred.
Exabeam stitches together log data to identify the user or users associated with an asset automatically, so analysts can follow attacks that span devices and users.
The Exabeam Security Operations Platform is a comprehensive cloud delivered solution that uses machine learning and automation to deliver TDIR in an authoritarian, outcomes based manner
As a result, clients can manage previously complex or impossible-to detect insider threats, and analysts can reliably distinguish abnormal attacker activity from normal user behaviour while avoiding false positives. Activity is then displayed in a machine-generated timeline, giving analysts visibility into an attacker's entire journey rather than a list of alerts.
Exabeam's cloud-based analytics and automation enable security teams to improve their capabilities beyond traditional SIEM use cases. Instead of relying on threat intelligence libraries, they can directly detect attacker tactics and techniques using behavioural analytics. Automation increases productivity at every stage of their workflow, from collection to response, reducing the time to resolve incidents. To correlate, analyse, and investigate incidents, the company enables security teams to deploy analytics on top of best-of-breed point products while avoiding vendor lock-in. Automation then assists analysts in prioritising alerts, speeding investigation, and orchestrating their response across existing and new applications, allowing clients to maximise their open XDR investments.