RubyCyber is an autonomous Tier-1 analyst that lives inside the SIEM, EDR and SOAR you already run. It triages around the clock, reaches a verdict with its reasoning attached, then runs the playbook.
A real alert lands. This is what your team sees seconds later.
No new platform to learn. RubyCyber reads from the tools you already trust and works the queue while your team sleeps.
Create an account, install the Windows agent, and link it to your tenant in minutes. Running a SIEM or EDR too? Connect it for fuller context.
Pulls context across your tools, follows the evidence like a Tier-1 analyst, and reaches a verdict, confidence and all.
Real threats arrive with a one-click decision; noise is closed out. Approve, and your SOAR playbook runs.
Not a chatbot bolted onto a dashboard. An investigator that reaches conclusions, with the reasoning attached so your team can trust them.
True or false positive, severity, scope, and the exact next step, backed by the artifacts it pulled. It shows its work, so analysts believe it.
Correlates endpoint, identity and network to surface the intrusions hiding in the ~90% of alerts that are false alarms.
Hands the matching SOAR playbook a one-click trigger, or waits for approval. You keep your finger on the button.
Multi-tenant from day one. One analyst across every client an MSSP protects. The leverage a managed SOC actually needs.
The only AI analyst that can run entirely inside your own environment.
Cloud Copilots ship your most sensitive telemetry to a vendor. RubyCyber can run its model locally. Your logs, alerts and evidence never leave the building. Same structured verdict, zero egress.
// same verdict, cloud or local { "alert": "WINWORD.EXE → powershell.exe", "source": "microsoft-sentinel", "verdict": "true_positive", "severity": "high", "confidence": 0.96, "playbook": "isolate_host", "engine": "local:llama3.2" }
Sign up, download the Windows agent, and you are live in minutes. Cloud AI usage is included; or run a local model (Ollama) at no AI cost.