ZonForge Sentinel's UEBA engine builds behavioral baselines for every user, service account, and IP in your environment — detecting credential compromise, insider threats, and lateral movement through statistical anomaly detection, not manual rules.
Signature-based detection fails against insider threats and compromised credentials because attackers behave like legitimate users — until they don't. UEBA catches those subtle behavioral shifts that rule-based systems are blind to.
ZonForge builds individual behavioral models for every user, device, and service account — tracking access patterns, working hours, geo-locations, and application usage. Each entity's normal is unique, and deviation from it is what triggers alerts.
Compares each entity's behavior against their peer group (team, role, department) — catching privilege creep and anomalous access that absolute thresholds miss. A finance user accessing engineering systems is flagged even if no absolute rule exists.
Each entity's risk score combines behavioral anomalies, threat intelligence matches, and time-decay factors — producing a continuously updated risk priority. Scores reflect the current threat posture, not a snapshot from last week.
Drill into any user or service account's complete activity timeline — a chronological view of every authentication, access event, and policy change. Give investigators the full context they need without manual log hunting.
UEBA models fire alerts the moment behavior deviates significantly from baseline — with full statistical context: how anomalous, in which dimensions, and compared to whom. No waiting for batch analysis cycles.
UEBA evidence satisfies insider threat monitoring requirements for SOC 2, HIPAA, NIST 800-53, and ISO 27001 — automatically documented for each audit cycle. Turn behavioral monitoring into compliance evidence without extra work.
ZonForge's UEBA engine starts learning your environment immediately — establishing baselines and detecting anomalies without manual rule configuration.
Link Okta, Microsoft Entra, Google Workspace, AWS CloudTrail, and your other identity and cloud sources via pre-built connectors in minutes.
Over 30 days, ZonForge builds behavioral profiles for every user, service account, device, and IP — learning normal access patterns, timing, geolocations, and peer group context.
UEBA models continuously score entity behavior against baselines and peer groups — firing precision alerts when statistical anomalies indicate credential compromise, insider threat, or lateral movement.
Every UEBA alert includes full AI investigation context: the entity's risk score, anomaly dimensions, historical baseline, peer group comparison, and recommended response actions.
See how behavioral analytics compares to traditional rule-based detection and standalone UEBA products for detecting insider threats and compromised accounts.
| Detection Scenario | ZonForge UEBA | Traditional SIEM Rules | No UEBA |
|---|---|---|---|
| Compromised credential use | ✓ Behavioral anomaly | Only if rule exists | ✗ Undetected |
| Insider data exfiltration | ✓ Volume + pattern anomaly | Threshold rules only | ✗ |
| Impossible travel detection | ✓ Per-user geo baseline | Static distance rules | ✗ |
| Privilege creep detection | ✓ Peer group comparison | ✗ Not detectable | ✗ |
| Off-hours access anomaly | ✓ Per-entity time profile | Business hours rule only | ✗ |
| Service account abuse | ✓ Behavioral deviation | Limited coverage | ✗ |
| Zero-day threat detection | ✓ Behavioral signatures | ✗ No signature = no alert | ✗ |
| Rule maintenance overhead | None — ML adapts | High — manual tuning | N/A |
Book a demo to see ZonForge UEBA build behavioral baselines and detect anomalies across your identity and cloud sources — live, not in a sandbox.