Catch an AI SOC Analyst Bluffing · Sep 16

Playbook Migration

Migrate Your SOAR Playbooks Automatically

D3 porting scripts read the playbooks in your current platform, rebuild the logic inside Morpheus, and hand your team a written list of what still needs a human.

6

Source platforms with published porting coverage

3

Artifact types that port: playbooks, reporting, integrations

800+

Integrations already built, so connector work is configuration

Fixed scope

One program, one agreed finish line, written down first

As of August 2026, SOAR playbooks can be migrated automatically in large part. D3 porting scripts read the playbooks, reports, and integration mappings in your current platform, then rebuild them inside Morpheus. Structural logic ports without a human. Custom code, vendor-specific functions, and steps tied to a tool you are retiring get flagged for human review before anything runs.

Nobody wakes up wanting to migrate playbooks. Something forces the timing. A renewal quote lands higher than last year. A platform change appears on somebody else’s roadmap. An engineer who knew the automation leaves. The work you already paid for is suddenly the thing standing between you and any other decision.

This page describes what D3 ports for you, what your team still reviews, and how the engagement is scoped. Morpheus is the accountable agentic SOC platform, and a full SOAR runs inside it, so the playbooks land in the same platform that triages the alerts.

The Harness

How Automated Playbook Migration Works

Every SOAR platform stores its playbooks as structured data. Steps, ordering, branch conditions, inputs, and outputs all live in an exportable format. A harness parses that structure and rewrites it as a Morpheus playbook, step for step, with the same branching and the same order of operations.

The value of the harness is the honesty of its output. Anything it cannot map with confidence comes back on a review list with the source step attached, so your team decides what happens next. When Morpheus is uncertain, it defers to a human.

Export
From your current platform
Parse
Steps, order, branches
Map
Actions to Morpheus connectors
Rebuild
Written as Morpheus playbooks
Review
Your team approves each one

Playbooks

Step sequence, branch conditions, inputs and outputs, and approval or wait steps come across as structure. Your analysts recognize the flow on sight because the shape of the playbook is preserved.

Reporting

Scheduled reports, dashboard definitions, and metric fields port alongside the playbooks. The board deck your CISO already circulates keeps its columns, which removes a common reason migrations stall.

Integrations

Where your source playbook calls a tool that Morpheus already integrates with, the harness maps the action to the Morpheus connector. Morpheus ships 800+ integrations, so most calls have a target waiting.

Supported Source Platforms

Coverage varies by how much of your automation lives in structured playbook steps and how much lives in custom code. Every environment is different, so the assessment confirms these rows against your actual export before anyone commits to a scope.

SOAR playbook migration coverage by source platform, D3 Morpheus, 2026
Source platform What ports automatically What needs review
Cortex XSOAR Playbook task sequence and sub-playbook structure, branching conditions, task inputs and outputs, scheduled report definitions, and integration commands that map to an existing Morpheus connector. Custom Python automation scripts, content-pack logic with no direct Morpheus equivalent, incident field and layout customizations, and any transformer or filter written in-house.
Splunk SOAR Playbook block sequence and execution order, decision blocks and their conditions, action blocks that map to an existing Morpheus connector, and report and dashboard definitions. Custom code blocks, embedded search syntax inside playbook steps, apps built in-house, and any playbook that calls another product’s API directly rather than through an app.
QRadar SOAR Workflow, phase, and task structure, task ordering and dependencies, rule and condition logic, notification templates, and report layout definitions. Custom scripts attached to tasks, functions that call in-house services, dynamic playbook conditions expressed in code, and field customizations that carry business logic.
Siemplify Playbook and block sequence, trigger conditions, case-scoped report definitions, and actions that map to an existing Morpheus connector. Custom actions written in Python, marketplace integrations with no Morpheus equivalent, environment-specific job configuration, and any logic held in connector settings rather than the playbook.
Swimlane Workflow step sequence, conditional branching, record and field mappings between applications, and dashboard and report definitions. Custom Python tasks, widget and form logic, record schemas where the schema itself encodes process rules, and any integration built in-house.
FortiSOAR Playbook step sequence, decision and approval steps, module and record field mappings, and report template definitions. Connectors built in-house, expressions written in templating syntax, playbook steps calling vendor-specific functions with no Morpheus equivalent, and custom module logic.

How To Read This Table

These platforms appear here because teams migrate away from them, and for no other reason. D3 makes no claim about how well any of them works. If your automation is mostly structured steps, the review column stays short. If your team solved hard problems in custom code, the review column grows, and the assessment will say so before you sign anything.

What a Fixed-Scope Migration Looks Like

It starts with an inventory

The scope is agreed in writing

Review is a joint working session

Cutover happens in stages

Webinar

The Agentic SOC That Refuses to Guess

Join us for the first public demo of Morpheus 2

Trust is the real bottleneck in SOC automation. When an AI hands your team a verdict with no visible reasoning, verifying it takes as long as the investigation it replaced. Morpheus 2 shows its work on every alert: findings rated confirmed, inferred or gap, actions held inside guardrails you set, every conclusion traced to evidence. Accountable autonomy. That’s what SOC teams need.

Join us for the first public demo of Morpheus 2 and see what changes for your team when every alert gets a full investigation: no more triage queue backlog, no more midnight escalations that turn out to be nothing, no more choosing which alerts get looked at and which get ignored.

In this webinar, attendees will see:

A workspace built for real threats, not noise

Attack Path Discovery investigate a live alert from entry vector to blast radius

Evidence rating in action: what the AI proved, what it inferred, where the gaps are

Plain-language queries across your stack, no search syntax

AI-built playbooks that orchestrate response, logged before they run

Where the Playbooks Land

Two products, one contract

The agentic SOC and the SOAR are the same platform. Your ported playbooks execute in the same place the alerts get investigated, under one contract and one audit trail.

The next playbook takes minutes

Morpheus builds playbooks from a plain-language description and shows you the draft before it runs. Any analyst on the shift can author automation, so the migration is the last time you queue behind an engineer.

The budget already exists

Most teams here are holding a renewal quote. The target is parity with the SOAR line item you were already going to sign, with the agentic SOC included in the same platform.

Quiet the Queue

Morpheus investigates up to 95% of alerts end to end in under two minutes. When Morpheus is uncertain, it defers to a human. Your ported playbooks handle the response on the alerts that survive triage.

Keep Control

Four autonomy tiers govern every ported playbook. Tier 1, Deterministic. Tier 2, AI-Assisted. Tier 3, AI-Led. Tier 4, Autonomous. You set the tier per action, and the audit trail produces evidence for your control reviews.

Know Your Bill

Platform Subscription + User Licenses = Your Expected Cost. The AI is in the platform price, not on a usage meter. The $0.97 Standard is the public benchmark for what an investigated alert should cost you.

faqs

Frequently Asked Questions

One answer per source platform, plus the two questions people search before they know which platform they are asking about.