How does multi-tenant security architecture work?

Multi-tenant security architecture ensures complete data isolation between clients using cryptographic separation. Each tenant's logs, alerts, and analysis results are stored in isolated partitions with separate encryption keys. This prevents cross-tenant data leakage while allowing MSSPs to manage all clients from a unified dashboard.

What are the benefits of AI for MSSP operations?

AI enables MSSPs to scale without linear headcount increases by automating alert triage, threat enrichment, and incident correlation across multiple clients. AI generates white-label reports, prioritizes threats based on client-specific context, and helps analysts meet SLA commitments by surfacing the most critical incidents first.

How does per-tenant billing work in MSSP platforms?

Per-tenant billing tracks resource usage (AI API calls, storage, compute) separately for each client. The platform meters AI analysis requests, data ingestion volume, and feature usage per tenant, enabling accurate cost allocation and transparent client invoicing based on actual consumption.

Can MSSPs white-label AI-generated reports?

Yes, MSSP AI platforms generate executive summaries, incident reports, and threat analyses that can be branded with your company logo and styling. AI-generated content is formatted for client delivery, including threat narratives, remediation playbooks, and compliance reports that appear as if created by your own analysts.

How do MSSPs ensure client data isolation with AI?

AI processing maintains tenant isolation by tagging all data and analysis requests with tenant identifiers. AI models never train on client data, and each analysis session is scoped to a single tenant's context. Cryptographic controls ensure AI cannot access or correlate data across tenant boundaries unless explicitly configured for cross-tenant threat intelligence.

MSSP AI Platform — ObsidianOne | Multi-Tenant Security Operations

Quick Answer

An MSSP AI platform is a multi-tenant security operations system built specifically for Managed Security Service Providers. It combines AI-powered threat detection and analysis with enterprise-grade multi-tenancy, enabling MSSPs to deliver scalable security services across dozens or hundreds of clients. The platform provides complete data isolation between tenants, per-client usage metering and billing, white-label reporting capabilities, and AI automation that reduces the analyst workload required to manage each client.

Built for Managed Security Providers

MSSPs face unique challenges: managing security for dozens of clients with different environments, compliance requirements, and service levels—all while maintaining strict data isolation. Traditional security tools weren't designed for this reality.

ObsidianOne was built multi-tenant from day one. Every aspect of the platform—from data storage to AI processing to billing—is designed around the MSSP model. Your clients' data stays completely isolated while you get a unified view of your entire practice.

Multi-Tenant Architecture

Complete Data Isolation

Each client's data is cryptographically isolated. No cross-tenant data leakage, no shared indexes, no commingled logs. Built for compliance from the ground up.

Per-Tenant Billing

Track AI usage, storage, and API calls per client. Generate accurate invoices and understand your cost-per-client metrics in real-time.

Unified Dashboard

See all your clients' security posture from a single pane of glass. Drill down into individual tenants or view aggregate metrics across your practice.

Client Self-Service Portal

Give clients visibility into their own incidents and reports without exposing other tenants. Reduce support burden with self-service access.

Scale Without Scaling Headcount

The MSSP business model is challenging: every new client means more alerts, more reports, more analyst time. AI changes this equation. ObsidianOne's AI handles the triage and enrichment that would otherwise require additional headcount—letting you grow your client base without linear cost increases.

Automated triage — AI prioritizes incidents across all clients, surfacing what matters
White-label reports — Executive summaries ready for client delivery with your branding
Consistent SLAs — Meet response time commitments with AI-assisted workflows
Flexible onboarding — Add new clients in minutes with API-first integration

MSSP-Specific Features

Beyond multi-tenancy, ObsidianOne includes features designed specifically for managed security providers: bulk operations across clients, cross-tenant threat correlation (with proper isolation), tiered service levels, and integration with common PSA and ticketing systems. We understand the MSSP workflow because we built this with MSSPs.

People Also Ask

What is an MSSP AI platform and how does it differ from traditional SIEM?

An MSSP AI platform is a multi-tenant security operations system purpose-built for Managed Security Service Providers. Unlike traditional SIEMs designed for single organizations, MSSP platforms provide complete data isolation between clients, per-tenant billing metering, white-label reporting, and AI-powered automation. The AI layer handles alert triage, threat enrichment, and incident correlation across multiple clients—reducing the analyst workload required to manage each tenant and enabling MSSPs to scale without linear cost increases.

How does multi-tenant architecture ensure client data isolation?

Multi-tenant architecture uses cryptographic isolation to separate client data at the storage, processing, and AI analysis layers. Each tenant has separate encryption keys, isolated database partitions, and scoped API access controls. All queries, AI requests, and reports are tagged with tenant identifiers to prevent cross-tenant data leakage. This allows MSSPs to manage all clients from a unified interface while maintaining compliance requirements for data separation.

Can MSSPs customize AI-generated reports with their own branding?

Yes, MSSP AI platforms provide white-label capabilities for all AI-generated content. Executive summaries, incident reports, threat analyses, and remediation playbooks can be branded with your logo, color scheme, and company information. The AI generates professional narratives and recommendations that appear as if created by your own security analysts, enabling you to deliver high-quality deliverables to clients without manual report writing.

How does per-tenant billing work and what gets metered?

Per-tenant billing tracks resource usage separately for each client, including: AI API calls (analysis requests, report generation), data ingestion volume (GB processed), storage usage, and feature access (premium capabilities, API limits). The platform provides real-time usage dashboards and generates itemized invoices showing exactly what each client consumed. This enables accurate cost allocation and transparent client billing based on actual platform usage rather than flat rates.

What AI capabilities help MSSPs scale without adding headcount?

AI automates the most time-intensive SOC tasks: triaging thousands of alerts to surface genuine threats, enriching incidents with threat intelligence and business context, correlating related events across different log sources, generating investigation playbooks, and creating executive summaries for client delivery. This means each analyst can effectively manage more clients, as the AI handles the initial analysis and prioritization that would otherwise require manual review of every alert.

Quick Answer

Key Takeaways

AI-Powered MSSP Platform

Built for Managed Security Providers

Multi-Tenant Architecture

Complete Data Isolation

Per-Tenant Billing

Unified Dashboard

Client Self-Service Portal

Scale Without Scaling Headcount

MSSP-Specific Features

Ready to Scale Your MSSP Practice?

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