What MSSPs Achieve
Tangible outcomes your board and auditors will care about
More tenants per analyst
based on real multi-tenant deployments
SLA breach risk
fewer penalties, higher customer trust
Tenant reports
clear investigations delivered in minutes
Personalized service
AI ensures accuracy for every client
Results vary by tenant mix, thresholds, and data quality.
Problems We Help You Solve
Tenant growth outpaces analyst capacity
adding customers means adding headcount, killing margin.
Decisions vary across shifts and sites
inconsistent triage creates rework and escalations.
SLA breaches erode margin and trust
missed response times trigger penalties and churn risk.
Manual reporting drains billable hours
analysts waste time drafting SLA proof instead of solving cases.
How It Fits Your Delivery Model
Connect & start in Suggest (HITL)
Connect your SIEM and SOAR (multi-tenant supported). Models propose decisions, analysts approve or deny, and the system learns from every judgment.
Decide in seconds, within thresholds
Models return label + confidence; auto-close only where confidence ≥ tenant-defined threshold.
Deploy and configure Agents & Workflows
Deploy and configure Agents and Agentic Workflows to gather context, draft investigations, and produce tenant-ready reports. Analysts review and approve before final submission.
Tenant reporting & SLA dashboards
Outputs write back to SIEM/ITSM and roll into tenant-facing SLA views.
Why Not Just Hire More Analysts?
Every new tenant adds workload, but scaling headcount doesn't scale consistency. Larger teams introduce variance across shifts and analysts, while costs rise linearly and margins shrink. Arcanna lets you scale tenants per analyst, so your cost curve flattens and SLA quality stays predictable.
Linear vs. non-linear scaling
analyst headcount rises 1:1 with tenants; Arcanna multiplies capacity.
Margin protection
predictable SLA performance without ballooning payroll.
Analyst retention
eliminate repetitive false positives; keep teams focused on real incidents.
Deployment & Operations
Rapid deployment
connect via API; start in read-only within minutes
Tenant isolation by design
data, policies, and reporting scoped per tenant
Flexible runtime
deploy Decision Models on-prem, private cloud, or hybrid
No GPUs or cloud resources required
Auto-close and reporting apply only where tenant thresholds are defined; all other alerts remain HITL.
Pilot Flow
Get started without workflow changes, scope auto-close and tenant reports as you build trust.
CONNECT (~30 MIN)
Read-only. No workflow changes.
HITL LEARNING (7–10 DAYS)
Review decisions. Set tenant boundaries.
ENABLE SCOPED AUTONOMY
Only where thresholds are met.
OPERATIONALIZE
Monitor KPIs. Ship tenant reports.
KPIs & Consistency
Real Results
Outcomes based on real multi-tenant MSSP deployments across varied tenant mixes and alert patterns.
2.8–3.2×
Capacity lift
more alerts processed per analyst
60–85%
P1/P2 acceleration
faster handling of high-priority tickets
95%
Decision consistency
up from 55% before model deployment
70–85%
Benign pattern suppression
repetitive benign alerts auto-closed under tenant thresholds