AGENTIC SOC PLATFORM

Automate the SOC. Free your analysts.

AI agents that triage, investigate, contain, and close incidents, across every SIEM, EDR/XDR, and firewall you already own.

Detect
Automate
Contain
The problem isn't detection, it's the manual work after it

What SOC teams are buried in

Triaging noisy alerts, hunting context across consoles, enriching IOCs by hand, and containing threats one ticket at a time. The result: slow response, inconsistent decisions, analyst burnout, and threats that dwell while humans catch up.

What Rainier changes

Independent AI agents run the entire workflow, alert to containment. Analysts step in only for genuine escalations, high-risk approvals, and edge cases.

Up to ~80% of L1 time is repetitive*
Rainier automates the entire workflow
Every step is an independent AI agent.
Detect
Triage
Correlate
Investigate
Decide
Contain
Close
~70%
less L1 triage effort*
Minutes
to detect & disposition*
24/7
autonomous operation
1:1
alert-to-case, no noise
An AI recommendation you can actually trust
// case view — closed with an email reply
CASE-2026-886A7F CLOSED
MTTD
3m
MTTA
1m
MTTR
18m
MTTC
2m
approve_closureconfidence 98 · local LLM

"Confirmed, this was planned maintenance by our team, safe to close."

The client replied in plain language. The LLM classified intent, matched it against the case, and closed it, with the full timeline logged for audit.

Traditional SOC vs. a Rainier-powered SOC
The same workflow, a fraction of the manual effort at every stage.
SOC activityTraditional (manual)With RainierEffort cut
Alert triage & FP suppressionAnalyst reviews each alertAI auto-triage & suppression~80%
IOC / entity enrichmentManual lookups across toolsAuto-enriched inline~90%
Correlation & de-duplicationManual, error-proneAutomatic + flagged-similar~85%
Investigation & root causeSlow, inconsistentAI narrative per case~70%
Disposition & closureManual decisioningRisk-based auto-close~75%
Containment / responseConsole-hopping, manualOne-click / autonomous~70%
Client notificationHand-written emailsAutomated + LLM reply~85%
Reporting & KPIsManual compilationAuto-generated~90%

Net effect: roughly ~70% of overall L1 effort removed. Representative, varies by environment and tuning.

The impact, in hours
Illustrative model for a typical mid-size SOC. Every input is editable.
2,000
alerts / day
~70%
auto-dispositioned
~10 min
manual effort avoided / alert
2,000 × ~70% × ~10 min → analyst effort removed
~230
analyst-hours saved / day*
~60,000
hours saved / year*
Weeks → Days
to deploy & stabilise
Sits on top of the stack you already own
Add a vendor: configuration, not code. Read-only by default.

SIEM

  • IBM QRadar
  • Microsoft Sentinel
  • Azure Log Analytics
  • Splunk*

EDR / XDR

  • SentinelOne
  • Cortex XDR
  • CrowdStrike Falcon
  • Microsoft Defender

Firewall / NDR

  • FortiGate
  • Palo Alto PAN-OS
  • Check Point
  • Cisco Firepower

Cloud / Identity

  • Microsoft Entra ID
  • Microsoft 365
  • Azure Lighthouse
  • AWS*

Threat Intel

  • VirusTotal
  • AbuseIPDB
  • AlienVault OTX
  • MISP*

ITSM / Notify

  • FreshService
  • ServiceNow*
  • Microsoft Graph
  • SMTP / Email

* on the connector roadmap. Credentials are held per-instance in an encrypted vault.

Why Rainier

Agentic & autonomous

Reasoning AI agents that act, not a static rules engine.

Vendor-neutral

Unifies any SIEM, EDR, XDR, and firewall. No rip-and-replace.

MSSP-native

True multi-tenancy, enforced at the database layer.

Data-sovereign AI

Self-hosted LLM. No client data ever leaves your environment.

Closed-loop

Detect, contain, and close back at the source, end to end.

Explainable & audited

Every AI verdict evidenced, every action logged.

Let your analysts hunt.Let Rainier handle the rest.

SECURE · DETECT · RESPOND · AUTONOMOUSLY

Book a walkthrough

See Rainier run against your own SOC workload. We'll follow up within one business day.

Your information stays confidential and is never shared with third parties.