For a leading global MSSP serving highly regulated clients, every new logo used to mean more headcount, more training, and more onboarding cost before it added margin — and the most security-sensitive customers wouldn't sign at all without on-prem data sovereignty. This case study shows how Simbian's AI SOC Agent let the provider rebuild its unit of production around AI instead of analyst hours, lifting alert coverage 12x while keeping every byte of customer telemetry inside the client's network boundary.

Inside the Case Study:

• Break the Analyst-to-Client Ratio: 90% of alerts now resolved without a human, 9x faster MTTC, 12x increased coverage, and 5x cost savings — growth no longer requires hiring senior analysts the market can't supply.
• Win Regulated Customers with On-Prem Deployment: Full agentic AI delivered inside the client's private network boundary, so data sovereignty, residency, and privacy requirements stop being deal-blockers for high-security verticals.
• Retire SOAR Without Losing Coverage: Replace brittle, hand-authored playbooks with a reasoning engine that handles novel threats in real time, runs 24×7×365 with no escalation queue, and shifts the legacy SOAR engineer's day from playbook construction to agent supervision.
• Operate Self-Improving SecOps in Practice: Every investigation, analyst override, and correction compounds inside Context Lake — so institutional knowledge stays with the platform instead of leaving with the engineer who wrote the playbook.
• Land in a Real MSSP Stack: 100+ native integrations across enterprise and security tooling, multi-tenant architecture for clean client isolation, and trusted-AI accuracy that holds up across complex, mixed-vendor environments.

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