Detect Threats Through Behavioral Deviation — Not Signatures
Security behavioral analytics establishes statistical baselines for normal activity across users, endpoints, applications, and networks — detecting deviations that indicate compromised accounts, insider threats, malware behavior, and lateral movement through anomaly detection that doesn't require prior knowledge of the attack.
What RLM Delivers on Security Behavioral Analytics
Signature-based detection fails against novel attacks, living-off-the-land techniques, and slow-burn insider threats. Behavioral analytics provides detection capability that scales with attack sophistication — any behavior that deviates significantly from established patterns triggers investigation.
How We Approach Security Behavioral Analytics
We work Security Behavioral Analytics the same way each time: establish the baseline, test the market properly, negotiate on evidence, and stay involved through implementation.
Behavioral Data Source Assessment
We assess the behavioral telemetry available in your environment — authentication events, endpoint telemetry, network flows, application logs, and DLP events — and identify the data gaps that limit behavioral analytics coverage.
Analytics Platform Evaluation
We evaluate security behavioral analytics platforms — Exabeam, Microsoft Sentinel UEBA, Securonix, Splunk UBA, and integrated behavioral analytics in XDR and NDR platforms — against your data sources and the specific behaviors you need to detect.
Baseline Model Design
We design the baseline configuration — entity categorization, peer grouping, feature selection, and the weighting model — that accurately represents normal behavior in your specific environment.
Risk Score Integration
We design the risk score integration with your SIEM and SOAR — ensuring behavioral risk scores enrich analyst investigations, trigger automated enrichment, and appear in the right place in the analyst workflow.
Security Behavioral Analytics Evaluation Criteria
These are the dimensions we have seen separate a Security Behavioral Analytics deployment that works from one that quietly becomes shelfware.
Baseline Quality
Behavioral analytics is only as good as the behavioral baselines established. Evaluate the baseline learning period required and the data quality needed — poor-quality or insufficient behavioral data produces unreliable baselines and high false positive rates.
Peer Group Accuracy
Behavioral analytics compares users to their peers. Evaluate the peer group definition quality — an executive being compared to general employees will generate excessive anomalies; comparison to other executives provides meaningful deviation detection.
Coverage of High-Risk Entities
Service accounts, privileged users, and contractors represent disproportionate risk. Evaluate the platform's ability to apply enhanced behavioral monitoring to high-risk entity categories.
Alert Prioritization Quality
Behavioral analytics generates risk scores, not discrete alerts. Evaluate the alert prioritization model — whether risk scores accurately surface the most dangerous behaviors vs. generating noise from unusual-but-benign activity.
Integration with Identity Context
Behavioral analytics that incorporates identity context — role, department, recent HR events, access certification status — provides significantly more accurate anomaly detection. Evaluate identity data integration depth.
Multi-Source Correlation
Single-source behavioral analytics misses multi-step attacks that each appear normal in isolation. Evaluate cross-source correlation capability — detecting the sequence of anomalies that together constitute an attack.
"We had three overlapping security tools doing the same job. RLM helped us rationalize the stack, cut spend by 30%, and actually improve our detection coverage in the process."
No upfront fees, no retainer, and no obligation to act on what we find.
Where This Matters Most
Sector-specific considerations we see repeatedly in security engagements.
A Sample of the Security Providers We Evaluate
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 →
Where Do You Want to Start With Security Behavioral Analytics?
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.
Talk to a Security Advisor