ZonForge Sentinel ingests, normalizes, and analyzes security logs from 40+ cloud, identity, and SaaS sources — delivering threat detection without the complexity, cost, or query language expertise that traditional SIEMs require.
ZonForge Sentinel replaces complex SIEM log pipelines with pre-built connectors, automatic normalization, and AI-powered analysis — so your team gets threat detection without the operational overhead.
Ingest logs from AWS CloudTrail, Azure Monitor, GCP Audit Logs, Okta, Microsoft 365, GitHub, Salesforce, Cloudflare, and 30+ additional sources via pre-built connectors — no custom parsers required.
ZonForge normalizes all incoming logs into a unified security data model — enabling cross-source correlation without manual parsing, field mapping, or custom extraction logic.
Move beyond keyword search to AI-driven analysis that understands context, correlates patterns, and surfaces threats buried in high-volume log streams — without query language expertise.
Pre-built views for authentication events, API calls, data access, configuration changes, and network flows — purpose-built for security investigation, not generic log querying or observability.
Configurable retention policies to meet SOC 2, HIPAA, PCI-DSS, and ISO 27001 log retention requirements — with tamper-evident storage and chain-of-custody documentation for auditors.
Search across months of security logs in seconds — without writing SPL, KQL, or EQL queries. Natural language-style queries let analysts investigate incidents without specialized training.
ZonForge Sentinel handles the entire log management lifecycle — ingestion, normalization, detection, and investigation — automatically.
Select from 40+ pre-built connectors for cloud platforms, identity providers, and SaaS applications. Most integrations are live in under 5 minutes via API authorization.
ZonForge automatically normalizes all incoming logs into a unified security data model — no manual parsing, no field mapping, no pipeline maintenance required.
AI detection models run continuously across all ingested logs — correlating signals across sources, reducing noise, and surfacing high-confidence threat detections.
Analysts search across months of normalized logs in seconds — without query language expertise. Every detection links directly to the underlying log evidence for rapid investigation.
See how ZonForge Sentinel's log management compares to Splunk, Microsoft Sentinel, and other traditional SIEM approaches.
| Capability | ZonForge Sentinel | Splunk / Traditional SIEM | Cloud-Native Log Tools |
|---|---|---|---|
| Query language expertise required | Zero — AI-driven | SPL / KQL required | SQL or proprietary |
| Pre-built connectors | ✓ 40+ out of box | Add-ons required | Limited sources |
| Automatic log normalization | ✓ No parsing needed | Manual field extraction | Schema-on-read |
| AI-powered threat detection | ✓ Built-in, 200+ rules | Rule tuning required | ✗ |
| Compliance retention controls | ✓ Configurable | ✓ Available | Limited |
| Deployment time | Hours | Weeks to months | Days |
| Cross-source correlation | ✓ Automatic | Manual correlation rules | ✗ |
| Total cost of ownership | Predictable SaaS pricing | Data volume-based, high | Varies |
Connect your first log source in under 5 minutes. ZonForge Sentinel handles normalization, correlation, and AI-powered detection — no SIEM expertise required.