Yes. The strongest model is AI plus humans: AI handles high-volume triage, enrichment, and first response in seconds, while your team controls policy, risk decisions, and escalation.
Teams stop spending nights and weekends on repetitive alert triage. AI investigates every alert, every hour, and only escalates the incidents that require human judgment.
It delivers enterprise-grade SOC coverage without building a 20-person operation. You gain speed, consistency, and lower cost while keeping control of your environment.
AI is best for speed and volume. Humans are best for business context, risk ownership, and strategic decisions. Designing around those strengths gives you the most resilient SOC.
When AI investigates in seconds, teams cut exposure windows and reduce the chance that true incidents remain buried in alert noise.
Flat endpoint pricing and no per-GB ingestion surprises make budget planning easier than legacy MDR and SIEM models.
Analysts focus on high-value security decisions, not repetitive triage queues and overnight alert churn.
Your telemetry stays in your infrastructure, supporting UK, EU, and US data residency requirements.
This view helps teams evaluate operating models quickly.
| Capability | Vigilense AI + Human Team | Traditional MDR | In-house SOC only |
|---|---|---|---|
| 24/7 investigation | Yes, AI-native | Partial, analyst-capacity bound | Often cost-prohibitive |
| Human oversight controls | Built in, policy-based | Vendor-defined workflows | Full internal control |
| Data movement required | No, query in place | Usually yes | No |
| Cost predictability | High, endpoint model | Low, volume-linked fees | Low, headcount heavy |
Catalog endpoint, identity, cloud, and network telemetry locations and validate access paths.
Enable source connectors so AI can query existing datasets without copying raw logs.
Define what AI can auto-close, auto-contain, or escalate for analyst approval.
Assign decision owners for high-risk actions and set clear business-hour and after-hour routes.
Use outcome reports to refine thresholds, reduce false positives, and improve playbooks.
The goal is not replacing people. It is upgrading your operating model so people spend time on security decisions, not repetitive investigation tasks.
Vigilense gives teams an AI-first SOC layer with human control points, full auditability, and zero-ingestion architecture.
For most organizations, yes. "Support" or "augment" is more accurate because humans still own policy, risk, and strategic response decisions.
AI can automate many containment actions, but high-impact actions should remain policy-gated with human approval.
No. Vigilense runs with a query-in-place model across systems like Snowflake, S3, and BigQuery.
Yes. Keeping data in your own infrastructure supports common UK, EU, and US data residency and governance requirements.
Risk-free 30-day pilot. No credit card. No lock-in.
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