Morpheus › Use Cases › For security service providers
For MSSPs and MDR providers
Every client’s alert investigated. Every tenant sealed.
Morpheus is the multi-tenant agentic SOC platform for MSSPs and MDR providers. It runs L1 and L2 investigation end to end on every client’s alerts, grades every verdict by its evidence, and executes response on deterministic playbooks with hard guardrails. Autonomy is set per client. Tenant data stays sealed, including from the AI. One audit trail per incident, per client. Priced so you can build fixed-price services on it.
Built for Fortune 500 SOCs and the world’s largest MSSPs.
Your team runs a security service.
Dozens of clients, each with a different stack and a different appetite for AI. Fixed-price contracts on top of costs that move. A bench you can’t grow as fast as the pipeline. And a market where a hundred vendors say “AI SOC” and most of them won’t be here in three years.
Your product is trust at scale: the client believes you’re watching everything, and believes their data never touches anyone else’s. Morpheus is built to let you keep both promises while the client count triples.
Does the margin math actually change?
Yes, because the cost curve stops tracking client count. When every alert arrives investigated and graded, analysts handle the exceptions, and the same bench serves three times the clients.
144,000 → 200
Monthly alerts reduced to those needing human review, in one production MSSP deployment.
70–85%
Documented gross margin on a Morpheus-augmented SOC, from 35–50% on a human-only SOC.
3x
Client-load capacity unlocked on existing headcount at a 25,000-customer master MSSP.
70%
Of that team now works proactively: hunting, tuning, client engagements. Previously 100% reactive.
The mechanism is coverage, not filtering. Morpheus gives every alert on every tenant the same L2-depth investigation: cross-tool correlation, attack-path tracing, blast radius, drafted response. Up to 95% of alerts in under two minutes, per customer-reported production data, July 2026. Your analysts stop being the throttle on how many clients you can take.
And the verdicts are gradeable, which is what lets you trust them at volume:
Confirmed
The source telemetry is attached. Your analyst, and your client, can read what Morpheus saw.
Inferred
The reasoning is shown. The evidence is circumstantial, and Morpheus says so.
Gap
Morpheus looked, found nothing, and reports the gap instead of filling it.
A service provider told us what they were afraid of: platforms where the AI is “just formatting text” and doubles the analyst’s load instead of halving it. Grading is the answer. If it can’t confirm, it says so, and it hands the alert to a human.
“Because I can check everything Morpheus does, I can hand it more work.”
Sr. SOC Analyst, Security Services Provider
Can one platform serve the client who wants AI and the client who forbids it?
Yes. Autonomy is a tenant setting. The regulated bank runs Deterministic with no AI in the chain while the tech client runs Autonomous, on the same instance, with the same team.
Deterministic
Human writes the rules
Rule-based playbooks run end to end. No AI in the chain.
AI-Assisted
Human in every action
Morpheus investigates and recommends. Your analyst approves every step.
AI-Led
Human at sign-off
Morpheus investigates and drafts the response. You sign off; response runs.
Autonomous
Human at design time
Investigation and response at AI speed. Gates set at design time. Roll back any action.
One alert type, two clients
An impossible-travel alert fires on a service account at a regional bank and, an hour later, at a SaaS company. The bank’s tenant is Deterministic: the playbook enriches, opens the case, and pages the analyst, who investigates by hand and signs the disposition. The SaaS tenant is Autonomous: Morpheus correlates the login against the endpoint, the VPN log and the account’s 90-day history, grades it Confirmed, disables the session inside the approval gate the client set at onboarding, and files the case. Same platform. Same shift. Two records, in the same format, each visible only to its own client.
That’s also your service ladder. Onboard a cautious client in Deterministic, run AI-Assisted in parallel on one alert category, show them the agreement rate after thirty days, and move them up a tier with the data in hand. Each mode is a higher-value service, and every step back is a configuration change. AI stops being a platform decision and becomes something each client buys from you when they’re ready.
Is my clients’ data actually sealed off, including from the AI?
Yes. Each tenant has its own data partition, its own credentials, its own playbooks and its own audit trail, and the AI’s context is scoped to the tenant it’s working in. Client A’s data is never referenced when Morpheus investigates Client B.
This is the question we hear first from providers with hundreds of clients, and it’s the right one, because it’s where most “multi-tenant” platforms turn out to be a single instance with filtered dashboards. Morpheus was built multi-tenant from its SOAR heritage: logical isolation enforced at the platform layer, a master instance for your configuration and reporting, and tenant-scoped everything underneath. The MSSP’s own analysts see what their role allows. The client sees only their tenant.
Isolation, not filtering
Per-tenant data partition, credentials and connector scope, playbooks, case workflows and audit trail. Role-based access on top, for your team and theirs.
AI context stays in the tenant
Attack Path Discovery, verdict grading and any learned context operate inside the tenant. Nothing crosses. For tenants set to Deterministic, no AI inference is invoked at all.
Residency per client
Choose where each client’s tenant lives: Azure regions in the US, Canada, Ireland and Japan, on-premises, or air-gapped. Your German client’s data can stay in the EU while your US clients don’t.
How fast can we onboard a client?
Days. Provisioning a tenant, connecting its tools and deploying base playbooks is typically a same-day job. Morpheus drafts the client-specific playbooks from their connected stack and your SOPs; your team reviews and approves; a deterministic engine executes exactly what was approved.
Onboarding is the throttle on every service provider’s growth, because every new client arrives with a different SIEM, EDR and ticketing system and expects your service to work on all of it by Monday. Morpheus connects to whatever they run through 800+ integrations that repair themselves when a vendor changes an API, with an 18-minute production MTTR against a four-to-six-week norm. One global MDR onboarding 2,000 tenants a year took the process to about ten clicks. You don’t force technology on your clients, and you don’t keep two engineers on connector maintenance.
The playbooks are where the AI contributes without taking control. It reads the client’s tools, their escalation paths and the patterns from your other tenants, and drafts the deterministic playbooks they need. Your team tunes rather than builds. The runtime executes what was approved, every time. Onboarding becomes a configuration exercise, and the response layer stays as predictable as the SOAR you came from.
What do our clients see?
Your brand, their tenant, and the evidence behind every verdict. The client portal, reporting and read-only licences carry your identity throughout, and case management is native, so you’re not paying an ITSM vendor to hold your tickets.
White-label by default
Your logo, your portal, your reports. The platform looks like something you own and operate.
A client view they’ll log into
Read-only tenant access so a client can see their cases, read the graded evidence and communicate back, the way they would in ServiceNow or Jira, without you licensing either for them.
Regulator-readable by design
One audit trail per incident per client, in the same format across every autonomy mode. The artifact your client’s auditor asks for is the record you already have.
The evidence grades do something for your client relationship too. When a client asks why an alert was closed, you show them the Confirmed finding with the telemetry attached. That’s a different conversation from “our tool marked it benign.”
Will this still be the right platform when you’re three times the size?
The question under every provider’s evaluation, and the one the roll-up plays and PE-backed platforms ask hardest. Four answers.
It already runs at hyperscale
A US master MSSP serves 25,000+ end customers in 180+ countries on it. A global MDR runs 1,000+ customer tenants on it after Palo Alto XSOAR buckled under their query load, with distributed multi-tenancy, Kubernetes-scaled proxy agents and ingestion that resumes from the point of failure. Regional isolation for any jurisdiction your clients require.
You’re not locked in, and neither are your clients
Morpheus sits on top of whatever each client runs, so a client swapping their EDR is a connector change, not a re-onboarding. Playbooks, cases and evidence export in standard formats, and a documented REST API gives you what you can pull, how often and how it’s structured. Autonomy is reversible per tenant.
The foundation isn’t new
D3 started as a SOAR company. The multi-tenant engine under Morpheus is the one large MSSPs and MDRs have run for years. The agentic layer is new; what executes your clients’ response is not.
Pricing you can build a service catalogue on
Annual subscription sized to your portfolio’s alert volume envelope, AI included. No token costs, no usage meter, no compute surprise when a client has a bad month. Adding a tenant on the shared instance doesn’t add a licence. Overage per alert is published in advance, and when your portfolio changes, we right-size the plan rather than hold you to a tier you haven’t grown into.
Whitepaper · Built for Scale
How three of the most demanding security operations in the world run on D3
A 25,000-customer master MSSP, a 1,000-tenant global MDR that outgrew XSOAR, and a $10B+ financial services firm.
Your clients stay your clients
D3 sells through you, not around you. Tenant contact data exists to run your service, and D3 doesn’t market to the organisations in your tenants. Ask for it in the order form; we’ll put it in writing.
Running your service on XSOAR, Splunk SOAR, QRadar SOAR or Swimlane?
D3 converts your playbooks like-for-like, runs beside your current platform on live alerts, and cuts over client by client on your sign-off. XSOAR migration for MSSPs → The XSOAR Exit Program →
faqs
Questions service providers ask us
Can Client A’s data ever be referenced when the AI investigates Client B?
No. Each tenant has its own logical data partition, and Attack Path Discovery, verdict grading and any learned context operate inside the tenant they belong to. Nothing crosses tenants. For tenants set to Deterministic mode, no AI inference is invoked at all.
Can different clients run different autonomy modes on the same instance?
Yes. Autonomy is set per tenant and per alert type across Deterministic, AI-Assisted, AI-Led and Autonomous, and every setting is reversible by configuration. A regulated client can stay fully deterministic while another runs autonomous triage, with the same operations team on the same platform.
Is the AI actually investigating, or just summarising what came in?
Investigating. Attack Path Discovery correlates the alert across the client’s SIEM, EDR, identity and cloud telemetry, traces the attack path, maps blast radius and drafts the response. Every finding is graded Confirmed, Inferred or Gap by the quality of its evidence, with the source attached, so your analysts can see the difference between a verdict and a summary.
Can we white-label it?
Yes. The client portal, client-facing reporting and read-only tenant licences carry your branding and identity throughout. D3’s partner program also includes co-marketing resources for providers who feature Morpheus as a foundational technology.
How long does it take to onboard a new client?
Provisioning a tenant, connecting its integrations and deploying base playbooks is typically same-day. Client-specific playbooks are drafted by Morpheus from the client’s connected tools and your SOPs, then reviewed and tuned by your team rather than built from scratch. Days, against the two to four weeks of senior engineer time a SOAR-based onboarding usually takes.
How is Morpheus priced for a service provider?
Annual subscription sized to your portfolio’s alert volume envelope, with the AI included: no token costs, no usage meter. Adding a tenant on the shared instance doesn’t add a licence. Overage per alert is published in advance, and the plan is right-sized with you as your portfolio changes.
Can we choose where each client’s data lives?
Morpheus deploys on Azure with US, Canada, Ireland and Japan residency, on-premises, hybrid, or air-gapped. Tenant placement follows the residency your client requires, so a European client’s data can stay in the EU while other clients are served elsewhere.
What can we pull out through the API?
Accounts, tenants, alerts, cases, investigation findings, evidence grades and audit records through a documented REST API, plus webhooks for events. What you can pull, how often and how it’s structured is in the API reference; ask your partner manager for access before the pilot.