Evaluating Exabeam or Securonix? Behavioral detection without the baseline.
User and Entity Behavior Analytics promised to catch what rules miss, yet many deployments depend on per-entity baselines, correlation rules and SIEM data priced by volume. LogLM takes a different path. It is a foundation model pretrained across diverse security telemetry, so your team detects concerning behavioral sequences zero-shot, upstream of the SIEM, inside your own boundary.
99% zero-shot, with no learning period for users, hosts or peer groups.
Detect before ingestion and send the SIEM what matters. Up to 45% lower SIEM cost.
Weights, verdicts and learning stay inside your environment: on premises, air-gapped or in your own cloud.
Conventional UEBA and LogLM differ in where the intelligence comes from.
The left column describes common UEBA architectures as vendors publicly present them. Individual products vary; confirm current capabilities with each vendor.
Measured in production, not in a lab.
Security teams at BNY, Deutsche Telekom, a top-four global bank and the Technology Advancement Center evaluated LogLM on their own telemetry.
Without training on the customer's environment.
Analysts spend their time on incidents, not noise.
Measured at a top-four global bank.
Measured at BNY.
Questions to ask any UEBA vendor.
The answers expose the architecture you will live with long after the evaluation ends: how long baselines take, who maintains the rules, and what each gigabyte of behavioral data costs.
Exabeam, which merged with LogRhythm, publicly describes behavioral analytics built on user and entity baselines. Ask how long baselining takes, and which models your team must tune as the organization changes.
Securonix publicly describes UEBA within a cloud-native SIEM. Ask where the analysis runs, and how cost scales with the data volume behavioral detection requires.
Ask what share of detections depends on rules someone must write, and what happens to peer groups after a reorganization or an acquisition.
From historical logs to a proof of value inside your boundary.
Send telemetry
Share historical logs from one environment. No agents, no disruption.
Review findings
Receive detections mapped to MITRE ATT&CK, with the evidence behind each one.
Prove value in place
Run LogLM and Vigil inside your environment on live telemetry, beside your current behavioral analytics.
See what your behavioral analytics miss.
Send historical logs. The team runs LogLM against them and returns findings mapped to MITRE ATT&CK, with the evidence behind each one.