ZonForge Sentinel's security analytics engine transforms raw security telemetry into actionable threat intelligence — using machine learning, behavioral analytics, and AI investigation to answer the question: what's actually happening in my environment?
ZonForge Sentinel's security analytics engine combines behavioral ML, risk scoring, multi-source correlation, and AI investigation — giving your security team the answers they need, not just more data to sift through.
ZonForge's ML models build behavioral baselines for every user, device, service account, and IP — detecting statistical anomalies that rule-based detection misses, including novel attack techniques and slow-burn intrusions.
Every user, account, and IP receives a continuously updated risk score based on behavioral data, threat intelligence, and historical patterns — automatically prioritizing analyst attention toward the highest-risk entities.
ZonForge correlates security events across cloud platforms, identity providers, and SaaS applications — finding attack chains that span multiple environments that single-source tools would never connect.
Visualize how an attacker moved through your environment — from initial access to lateral movement to data exfiltration — with an interactive attack graph that makes complex incidents immediately understandable.
Pre-built security metrics dashboards for CISOs: MTTD, MTTR, alert volume trends, risk posture scores, detection coverage by MITRE ATT&CK tactic, and compliance control status — all updating in real time.
Every detected threat gets a written investigation narrative — explaining the attacker's likely intent, the evidence chain, affected systems, and recommended response steps — so analysts act on decisions, not data.
ZonForge Sentinel's security analytics pipeline transforms security events into actionable threat intelligence automatically — no manual tuning required.
Connect 40+ cloud, identity, and SaaS sources via pre-built connectors. ZonForge normalizes all incoming telemetry into a unified security data model automatically.
ML models analyze 30+ days of historical data to establish behavioral baselines for every user, device, service account, and IP in your environment — continuously updated as behavior evolves.
200+ AI detection models run continuously across all ingested telemetry — combining behavioral anomaly detection, MITRE ATT&CK rule matching, and threat intelligence correlation to find real threats.
Every threat surfaces with a risk-scored alert, attack graph, entity timeline, and AI investigation narrative — giving your team everything needed to act immediately without further investigation.
See how ZonForge Sentinel's AI-native security analytics compares to traditional SIEM platforms and rule-based detection approaches.
| Capability | ZonForge Sentinel | Traditional SIEM | Rule-Based Detection Only |
|---|---|---|---|
| Behavioral ML detection | ✓ Per-entity baselines | Limited add-ons | ✗ |
| Continuous entity risk scoring | ✓ Every user & IP | Manual risk rules | ✗ |
| Attack graph visualization | ✓ Interactive | ✗ | ✗ |
| AI investigation narratives | ✓ Every alert | ✗ | ✗ |
| Multi-source correlation | ✓ Automatic, 40+ sources | Manual correlation rules | ✗ |
| False positive rate | 95% reduction vs. rules | High — rule tuning required | Very high |
| CISO security KPI dashboards | ✓ Pre-built, real-time | Custom dashboard required | ✗ |
| Novel threat detection | ✓ Behavioral anomaly | Known threats only | Known threats only |
Connect your cloud and identity sources. ZonForge Sentinel begins building behavioral baselines and surfacing threats with full context — from day one, without tuning.