Insider risk management is the practice of detecting, investigating, and mitigating security risks that originate from people who already have legitimate access, employees, contractors, and partners. These risks fall into three categories: malicious insiders (who intend harm), negligent insiders (who make careless mistakes), and compromised insiders (whose accounts have been hijacked). Propelex deploys a partner-powered solution that uses behavioral analytics to detect all three while respecting employee privacy.

Perimeter defenses, firewalls, email security, and the like, are designed to keep external attackers out. But insiders are already inside, with legitimate credentials and access. To them, the perimeter is irrelevant. Detecting insider risk requires understanding behavior, spotting when someone with legitimate access does something risky or anomalous. That's a fundamentally different capability, which is what insider risk management provides.

UEBA (User and Entity Behavior Analytics) is the technology at the heart of insider risk detection. It establishes a baseline of normal behavior for each user and entity, then detects anomalies that deviate from that baseline, unusual data access, abnormal login patterns, large downloads, or activity inconsistent with someone's role. Because it focuses on behavior rather than fixed rules, UEBA can catch novel and subtle insider threats that rule-based systems miss.

It doesn't have to, and shouldn't. Effective insider risk management focuses on detecting genuinely risky activity, not surveilling everything employees do. Propelex favors a privacy-respecting, proportionate, intent-aware approach: monitoring for specific risk indicators (like data exfiltration) rather than blanket surveillance, with investigation workflows that build accurate context before any action. This protects the organization while treating employees fairly and meeting privacy obligations.

This is the core challenge, and why behavioral analytics and context matter so much. By baselining normal behavior and scoring risk in context, the solution distinguishes a genuine threat (an employee downloading the entire customer database before resigning) from routine activity (an employee accessing files they normally work with). Alerts are prioritized by risk, and Propelex investigates with full context before any conclusion, minimizing false accusations while catching real threats.