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Threat Detection

Detect Insider Threats and Compromised Accounts Through Behavioral Analytics

User and Entity Behavior Analytics (UEBA) establishes behavioral baselines for users and entities across your environment — detecting anomalous activity that indicates insider threats, compromised credentials, privilege escalation, and lateral movement that rules-based detection misses.

Overview

What RLM Delivers on UEBA

UEBA catches the threats that signature-based detection can't: the legitimate user account doing something it's never done, the service account accessing unusual systems, the executive downloading large volumes of sensitive data at 2 AM. RLM advises on UEBA platform selection and integration with your detection program.

Advisory Approach

How We Approach UEBA

Our security advisory runs from discovery and market evaluation through vendor selection and post-deployment optimization — scoped to the UEBA decision in front of you.

1

Threat Model & Use Case Prioritization

We define the insider threat and compromised account scenarios most relevant to your organization — data theft, privilege escalation, account takeover, lateral movement — and prioritize the UEBA use cases with the highest risk-reduction value.

Threat Model DesignUse Case PrioritizationRisk Scoring
2

Platform Evaluation

We evaluate UEBA platforms — Exabeam, Microsoft Sentinel UEBA, Securonix, Splunk UBA, and UEBA capabilities within broader XDR platforms — against your data sources, detection requirements, and integration with existing security tooling.

Platform ComparisonData Source CoverageXDR Integration
3

Baseline & Model Configuration

UEBA effectiveness depends on quality behavioral baselines. We design the baseline configuration approach — peer group definition, entity categorization, and the risk scoring model that surfaces genuinely anomalous behavior.

Baseline DesignPeer GroupingRisk Model Configuration
4

Alert Triage & Investigation Workflow

UEBA generates risk scores that require analyst investigation. We design the triage workflow — risk threshold alerting, investigation playbooks, and escalation criteria — that converts UEBA signals into security outcomes.

Triage DesignPlaybook DevelopmentEscalation Criteria
Evaluation Criteria

UEBA Evaluation Criteria

The questions below are the ones that decide whether a UEBA investment pays back — and the ones vendors are least eager to answer.

01

Data Source Breadth

UEBA accuracy improves with more behavioral data — authentication logs, DLP events, email activity, cloud application usage, and endpoint telemetry all contribute. Evaluate the platform's data source coverage for your specific environment.

02

False Positive Management

UEBA systems that generate excessive false positives create alert fatigue. Evaluate the tuning mechanisms — peer group refinement, exception management, and risk threshold configuration — that maintain detection fidelity.

03

Baseline Learning Period

UEBA requires a baseline learning period — typically 30-90 days — before reliable detection is possible. Evaluate the onboarding timeline and the data requirements for building accurate behavioral baselines in your environment.

04

Integration with SIEM/SOAR

UEBA risk scores are most valuable when integrated into your SIEM investigation workflow. Evaluate native SIEM integration quality and the data model that enriches alert context with behavioral risk scores.

05

Privileged Account Coverage

High-risk accounts — administrators, service accounts, executives — should receive enhanced UEBA coverage. Evaluate the platform's ability to apply differential monitoring intensity based on account risk classification.

06

Entity Coverage Beyond Users

Modern UEBA should model service accounts, endpoints, and applications — not just human users. Evaluate the non-human entity coverage that detects compromised service accounts and lateral movement by automated processes.

"RLM helped us build a security program that satisfied our board and our auditors — without locking us into a single vendor's roadmap. Their independence is the whole point."

CISO — Mid-Market Financial Services Firm

The benchmark comes first. Without a baseline, “savings” is just a number a vendor gave you.

A Sample of the Security Providers We Evaluate

CrowdStrikeFortinetPalo Alto NetworksZscalerProofpointeSentireForesite Cybersecurity

RLM is vendor neutral. These are among 600+ providers in our evaluation set — inclusion here is not an endorsement, and we are paid by the provider you choose, not by any provider in particular. How that works →

Ready to Move on UEBA?

Start with a no-cost conversation with an RLM security advisor — vendor neutral, no agenda, just clarity on where your gaps are and the right path to close them.

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