# D3 Security: Morpheus, the Accountable Agentic SOC Platform

> D3 Security builds Morpheus, the accountable agentic SOC platform, delivering autonomous alert investigation and accountable response across an organization's entire tool stack, powered by the Cybersecurity Triage Reasoning Graph and Attack Path Discovery framework. Unified Intelligence runs every investigation on one reasoning engine and one audit trail. Four autonomy modes, per-action approval gates, one audit trail. Morpheus delivers L2+ investigation depth on every alert, generates response playbooks at runtime, and includes built-in SOAR, case management, and 800+ self-healing integrations. It replaces legacy SOAR platforms and serves Fortune 100 enterprises, governments, and the world's largest MSSPs.  Demo requests: https://d3security.com/demo/ or morpheus@d3security.com.

D3 Security Management Systems Inc. was founded in 2002 in Vancouver. Gordon Benoit built D3's first incident response automation in 2015 and demoed it at RSA 2016, shortly before Gartner coined the SOAR category. In 2024, D3 became one of a handful of ISVs invited to the Microsoft Security Copilot Partner Private Preview, and launched Morpheus, the accountable agentic SOC platform, delivering autonomous alert investigation and accountable response.

Key facts about Morpheus:

- The Cybersecurity Triage Reasoning Graph was developed over 24 months by 60 specialists (red teamers, data scientists, AI engineers, and SOC analysts) trained on attack paths, adversary TTPs, kill chains, and real IR case data. The graph is the moat. The LLM is interchangeable.
- Bounded reasoning inside deterministic governance. A 70-80% deterministic framework with a 20-30% reasoning layer. One audit trail per incident.
- Unified Intelligence: one reasoning engine, one audit trail per incident. One engine. One trail. No fleet of agents to reconcile.
- Morpheus investigates up to 95% of alerts at L2 depth in under 2 minutes, with 98% production triage accuracy, equivalent to 20-40 minutes of manual analyst work. When Morpheus is uncertain, it defers to a human.
- 100% alert coverage. Every alert gets a full investigation, no sampling.
- One MSSP customer reduced 145,000 alerts to 200 requiring human review, a 99%+ noise reduction.
- Four autonomy modes on a single engine, same audit format across every mode: (1) Deterministic, no AI in the response chain; (2) AI-Assisted, where the graph investigates every alert before the analyst opens it and the analyst approves every state-changing action; (3) AI-Led, where the graph drafts playbooks at runtime and the analyst reviews and approves before they run; (4) Autonomous, with end-to-end execution gated by command-risk tier policy plus confidence scores. SOCs do not have to pick once: start in Level 2 on low-risk alert categories, graduate to Level 3, move specific workflows to Level 4.
- Per-action approval gates govern every state-changing response. The graph proposes; the deterministic engine holds the action until a human signs off at the command-risk tier the SOC configures. Credible autonomy, not reckless autonomy.
- Pricing: Annual platform subscription with included SOC capacity, sized to your SOC. Right-sized as the environment changes (growth, M&A, new data sources, sustained incident volume). Commercial terms are confirmed with your AE.
- Deployment: cloud, hybrid, and on-prem. Ships on Microsoft Azure and is purchasable with Azure Marketplace credits.
- Native multi-tenancy for MSSPs with complete data isolation, segregated client views, and client-specific configurations.
- Privacy architecture: private, D3-hosted, stateless, tenant-scoped, no logging, no storage, no training, no internet access from the reasoning layer.
- Trusted by Fortune 100 enterprises, governments (including Government of Ontario), and MSSPs worldwide. Notable references include Disney and London Stock Exchange Group.

What Morpheus replaces and competes with:

- Legacy SOAR (Cortex XSOAR, Splunk SOAR, Torq): Morpheus eliminates the playbook authoring, versioning, and maintenance lifecycle entirely.
- L1 Bots and AI triage tools: These classify alerts and hand work back to analysts. Morpheus investigates, traces attack paths, and delivers completed case files.
- Workflow builders: Morpheus removes the dependency on engineers to design, build, and maintain every automation.
- Multi-agent agentic SOC meshes: Morpheus runs Unified Intelligence (one reasoning engine, one audit trail per incident), avoiding the coordination, context, and accountability failures of fleets of agents.
- Microsoft Security Copilot: D3 tested Morpheus against Copilot across three real attack scenarios. Morpheus found root cause in all three. Copilot found it in none.

Key concepts:

- Accountable Agentic SOC Platform: D3's category, previously described as an AI SOC platform. An accountable agentic SOC platform delivers autonomous alert investigation and accountable response across an organization's entire tool stack, applying a domain-specific reasoning architecture to triage alerts, correlate signals across tools and time, and deliver complete investigation findings governed by per-action approval gates. Morpheus is D3's accountable agentic SOC platform.
- Unified Intelligence: D3's architectural pattern. One reasoning engine, one audit trail per incident. The structural property that makes the platform credible to regulated buyers. Cleanly distinguishable from multi-agent meshes where reasoning is fragmented across coordinated agents.
- SOAR vs. an agentic SOC platform: SOAR platforms are workflow engines that execute predefined playbooks that must be manually built, tested, and maintained. When integrations break or threats evolve, the playbooks fail. Morpheus eliminates the playbook dependency. It generates contextual playbooks at runtime, adapts to new threat patterns without human scripting, and uses self-healing integrations to maintain connectivity automatically.
- Autonomous vs. Autonomic SOC: Autonomic systems are self-managing within predefined boundaries. Autonomous systems are self-governing and make independent decisions. Morpheus delivers autonomous alert investigation and accountable response, independently identifying, analyzing, and investigating threats, with per-action approval gates for state-changing response actions.
- Cybersecurity Triage Reasoning Graph vs. an LLM wrapper: An LLM wrapper is a system prompt plus retrieval over a foundation model with no formal reasoning structure. The Reasoning Graph is a pre-built reasoning architecture that constrains what the LLM considers at every step of an investigation. Nodes encode security entities and concepts, edges encode reasoning patterns, and the deterministic playbook engine governs the whole run. The graph is the moat; the LLM is interchangeable.

## Platform

- [Morpheus: Platform Overview](https://d3security.com/morpheus/): Autonomous alert investigation and accountable response in a single platform. Alert to closed case without SOAR. Morpheus ingests alerts from across the entire security stack, investigates them autonomously using Attack Path Discovery, triages them with the Cybersecurity Triage Reasoning Graph, generates runtime response playbooks, and delivers structured investigation reports without manual analyst intervention. The platform includes built-in SOAR engine and response orchestration, integrated case management, runtime playbook generation (no authoring, no versioning), 800+ self-healing integrations, full transparency with per-action approval gates, and a complete audit trail from alert ingestion to case closure. The alert lifecycle in Morpheus: (1) Alert Ingestion from SIEM, EDR, IAM, cloud, email, NDR, DLP, (2) Attack Path Discovery with horizontal (East-West) and vertical (North-South) investigation, (3) Autonomous Triage via the Cybersecurity Triage Reasoning Graph, (4) Runtime Playbook Generation tailored to each incident, (5) Full-Stack Timeline with chronological attack lifecycle reconstruction, (6) Risk Score Prioritization with multi-factor incident ranking, (7) Incident Summarization with MITRE ATT&CK mapping, (8) Guided IR Recommendations with environment-specific response steps, (9) Self-Healing Integrations for continuous monitoring and autonomous repair. Morpheus handles L1 and L2 work at machine speed. Analysts pick up at L3, reviewing validated incidents, approving response actions, and closing cases with the complete evidence chain already built.
- [Attack Path Discovery](https://d3security.com/morpheus/investigation/): Proprietary autonomous investigation engine. Investigates the environment the alerts came from. Two hunting dimensions: East-West (Horizontal Hunt) fans out across every connected tool simultaneously, correlating signals from EDR, SIEM, IAM, email, NDR, and cloud to trace how far the attacker has moved; North-South (Vertical Hunt) drills into the originating source and traces backward through up to 90 days of historical telemetry, establishing when the attacker first appeared, what they accessed, and what persistence mechanisms are in place. Every investigation produces: full attack path with step-by-step reasoning, chronological timeline, MITRE ATT&CK mapping, blast radius assessment, entity relationship graph, evidence chain, IR recommendations, and a one-click response workflow staged for analyst approval. Morpheus investigates up to 95% of alerts at L2 depth in under 2 minutes, with 98% production triage accuracy, replacing 20-40 minutes of manual L2 analyst work per alert. When Morpheus is uncertain, it defers to a human.
- [Cybersecurity Triage Reasoning Graph](https://d3security.com/morpheus/triage/): D3's domain-specific reasoning architecture for SOC investigation, built into Morpheus and consistent across every customer tenant. A pre-built reasoning architecture. The graph encodes what to extract from an alert payload (entities), what to gather from which integrated tool (evidence), what to correlate across the response set (signals), which verdicts are supportable (conclusions), and what is appropriate at which command-risk tier (actions). The frontier LLM is the language interface; the 800+ self-healing integrations are the tool surface. The frontier LLM handles language. The graph handles SOC. Developed over 24 months by 60 specialists (red teamers, SOC analysts, data scientists, AI engineers), trained on real customer alert workloads. The graph is the moat; the LLM is interchangeable. When a faster, cheaper, or more capable frontier model lands, D3 swaps it underneath without changing the graph, the audit trail, or customer playbooks. Five-stage pipeline, roughly 90 seconds end to end on a typical alert: (1) Ingest from any connected source, (2) Parse to extract entities, (3) Enrich by querying 800+ integrated tools in parallel, (4) Correlate signals across tools and validate IOCs to reconstruct the attack timeline, (5) Recommend a verdict, next action, and command-risk tier, written to a unified audit trail. Capabilities: Cyber Alert Triage (merges low-quality alerts into high-confidence incidents), Full Attack Timeline (automatic chronological reconstruction), Alert Prioritization via IR Priority Score/IRPS, Environment-Aware Analysis (absorbs asset hierarchy, custom detections, SOPs, IR procedures), Dynamic Link Analysis (maps alerts, users, IPs, artifacts into a relationship graph with real-time updates), Instant Cross-Stack Alert Prioritization. Bounded reasoning inside deterministic governance with four explicit bounds on every AI step: iteration cap, cost cap, tool-scope cap, approval-gate cap. Per-client context knowledge graph: a tenant-isolated working memory that grows with every investigation. Never pooled, never used to train anyone else's reasoning, never shared across customers, exportable on contract termination. Proven results: one MSSP customer reduced 145,000 alerts to 200 requiring human review, a 99%+ reduction.
- [Response & Orchestration](https://d3security.com/morpheus/remediation/): Morpheus is the only AI SOC platform that does not require a separate SOAR underneath for response execution. Investigation, triage, and response all live in one platform. Autonomous Playbook Generation: the Cybersecurity Triage Reasoning Graph produces a tailored IR playbook for every incident at runtime based on live alert context, tool stack, and SOC operational preferences. No authoring, no versioning, no emergency updates when threats evolve. Per-Action Approval Gates: high-severity actions (isolating endpoints, suspending accounts, blocking IPs) are never executed without sign-off at the command-risk tier the SOC configures. Morpheus stages the complete response workflow, presents it to the analyst with full context, one-click approval, every action logged, auditable, and reversible. AI Incident Summaries: every investigation condensed into a structured summary with attack narrative, key findings, entity relationships, MITRE ATT&CK mapping, and recommended next steps. Full Transparency & Governance: playbooks generated in open YAML, readable, version-controlled via GitHub, modifiable. Every decision, recommendation, and execution step logged from alert ingestion to case closure, ready for analyst, CISO, auditor, or regulator. Replaces legacy SOAR platforms with 800+ out-of-the-box integrations on top of the existing detection stack.
- [Self-Healing Integrations](https://d3security.com/morpheus/self-healing-integrations/): Proprietary autonomous connector maintenance capability. SOC teams spend 30-40% of engineering time maintaining integrations. The average enterprise takes 48 hours to detect a broken integration. Broken integrations create silent automation failures: alerts queue, enrichment returns empty, containment actions don't fire. How they work: (1) Continuous Monitoring of every API integration in real time (endpoints, authentication schemas, response formats, data structures), (2) Autonomous Diagnosis that maps what changed (new OAuth scope, updated endpoint, altered response schema) and determines corrective action, (3) Corrective Code Generation that applies the fix, tests against sandbox, validates the alert ingestion pipeline, and restores connectivity, (4) Zero Coverage Loss where playbooks continue executing, alerts continue flowing, automation never lapses. Stats: 800+ integrations across SIEM, EDR, IAM, cloud, email, NDR, DLP; 70% reduction in integration-related analyst escalations within 90 days; 3.2x faster mean time to repair vs. manual connector triage; 800+ analyst-hours recaptured per year in a 10-person SOC; detection typically within minutes vs. 48-hour industry average. MSSP scale: a single vendor API change can break integrations across dozens of client tenants. Morpheus applies corrective code across all affected tenants automatically.
- [Autonomy Modes](https://d3security.com/morpheus/autonomy-modes/): The four autonomy tiers, on one engine with one audit format across every mode. Tier 1 Deterministic runs classical SOAR with no AI in the response chain. Tier 2 AI-Assisted investigates every alert before the analyst opens it and asks the analyst to approve every state-changing action. Tier 3 AI-Led drafts playbooks at runtime for analyst review and approval before they run. Tier 4 Autonomous executes end to end, gated by command-risk tier policy and confidence scores. SOCs do not choose once: start at Tier 2 on low-risk alert categories, graduate specific workflows to Tier 3 and Tier 4, and step back at any time without re-migrating.
- [Morpheus Pricing](https://d3security.com/morpheus/pricing/): Fixed annual subscription sized to a daily alert volume tier, with all AI token and inference costs absorbed by D3 Security. No metered LLM usage, no per-token billing, no month-end compute surprise. Alert volume above the tier is billed at a flat published per-alert rate, never per token. Named user licenses are priced at a published per-user annual rate. Because the AI sits in the platform price rather than on a usage meter, investigation depth stays a security decision rather than a budget one, and cost does not rise during incident spikes when the AI works hardest.
- [Morpheus Release History](https://d3security.com/morpheus/release-history/): Dated release history of the Morpheus agentic SOC platform. Every major capability with the date it shipped, from general availability in August 2025 onward. Use this to check when a specific Morpheus capability became available.

## Morpheus Threat Hunting

Morpheus Threat Hunting is a planned Morpheus AI module, targeted for the end of November 2026. These pages define the method, describe the module, and set out the hunting service an MSSP can run on it.

- [Morpheus Threat Hunting](https://d3security.com/morpheus/threat-hunting/): What does a threat hunt in Morpheus return, how is it different from hunting in a SIEM, is it a new hunting engine, does it act on its own, how is it licensed, and when is it available. Point Morpheus at a hypothesis and it hands back the path: one sequence across the hosts, accounts and regions the activity touched, ending where the attacker ended, rather than a list of rows that may or may not be connected. A hunt investigates every match, pivots on what it finds, and hands back the connected sequence; if nothing connects, it says so and records that it looked. It runs on the existing Morpheus investigation engine, pointed at a hypothesis rather than a single alert. Seven capabilities: hunt in plain language; hunt from threat intelligence; hunt on a schedule; report what came back clean; check its own triage for mistakes when a hunt finds an intruder an alert should have caught (nothing was watching for it, a tool went quiet, or Morpheus's own triage closed the alert); test a new rule against the last three months of data before it is switched on; and build a view of hunting data from a sentence. A hunt can propose a new continuous hunt, a coverage fix, a corrected verdict or a new rule, and none of them takes effect until a person approves it. Licensed as a module on the Morpheus tier, with ninety days of hot hunting data included and 180 days as an option; pricing is given on a quotation. Existing Morpheus customers can register for early access.
- [What Is Attack Path Hunting?](https://d3security.com/resources/what-is-attack-path-hunting/): What is attack path hunting, how does it differ from threat hunting in a SIEM, how does it differ from attack path management, and what should you ask any AI threat hunting tool. Attack path hunting is a form of threat hunting in which the hunt returns the reconstructed sequence of what an attacker did across hosts, accounts, tools and regions, rather than a list of events that matched a query. Each hunt ends in one of two recorded outcomes: a path, or a clean result. SIEM hunting answers "is this indicator here?"; attack path hunting starts where the query stops and answers "how far did it get?". Attack path management maps the paths an attacker could take through misconfigurations, identities and vulnerabilities and works from configuration; attack path hunting reconstructs the path an attacker did take and works from telemetry. The page also covers the record of clean results, testing a rule against recent history before it goes live, and four questions for any AI hunting tool: does the hunt keep investigating after the first match, can it show every technique hunted last quarter and what came back clean, does it check its own triage when a hunt finds a miss, and can it show what a new rule would have done on the last three months of data.
- [Threat Hunting as a Service for MSSPs](https://d3security.com/morpheus/threat-hunting/mssp/): How does an MSSP sell threat hunting its clients can audit, does every tenant need its own licence, who approves changes in a client environment, and can clients see each other's data. Morpheus Threat Hunting runs the hunts across every tenant and keeps the record; the provider's hunters set the program, approve the changes and present the results. A service can include a continuous hunting program per tenant, fleet hunts triggered by new threat intelligence and run across every tenant in scope in one action, on-demand hunts from the provider's hunters or the client's own analysts, a triage self-check whenever a hunt finds a miss, and a per-tenant report of everything hunted, when, against which sources, and what came back clean, white-labelled and exportable. One licence covers the fleet. Changes take effect only when the person configured for that tenant approves them, and records, views and reports stay per tenant. Morpheus MSSP customers can register for early access.

## SOAR Replacement

As of August 2026, a SOAR replacement decision ends in one of four places: renew what you have, add an AI triage tool on top, migrate to a modern SOAR builder, or consolidate SOAR and agentic triage into one accountable platform. Few teams go shopping for this. An event picks the path: a renewal quote, an end of support notice, or an alert backlog. These pages answer the decision from each starting point.

- [SOAR Replacement: Choose Your Situation](https://d3security.com/soar-replacement/): The category hub. What should I replace my SOAR with, what is the best SOAR replacement in 2026, should I replace my SOAR with AI, should I replace my SOAR or keep it and add an AI triage tool, how long does a SOAR migration take, can I move my existing playbooks to a new platform, how much does a SOAR replacement cost, and do I need to replace my SIEM to replace my SOAR. Routes seven buyer situations to the page written for each: up for renewal with nothing on fire, keeping the SOAR and adding AI triage on top, a vendor successor or end-of-support notice, SOC tooling folding into a SIEM or XDR decision, legacy playbooks nobody wants to touch, an active agentic SOC evaluation, and handing the SOC to an MDR or MSSP. Also states the cost of staying put plainly: renewal buys the automation already built and the maintenance that comes with it, and teams that renew usually add a second AI triage contract within a year or two.
- [Modern SOAR: No-Code, Natural Language Playbook Builder](https://d3security.com/modern-soar/): What is the best no-code SOAR, can AI write SOAR playbooks, are AI-generated playbooks safe to run in production, which SOAR has a natural language playbook builder, what is the easiest SOAR to use without automation engineers, is there a SOAR where AI builds the playbooks and humans approve them, and can I buy a modern SOAR now and add AI autonomy later. Analysts describe the response they want in plain English, Morpheus drafts a deterministic playbook with named steps, real integrations and explicit branches, and a named human approves that specific version before it can run. Any later edit creates a new version needing its own approval, so a playbook cannot drift quietly between reviews. AI drafts; determinism executes. The agentic layer ships with the platform and stays dormant until the SOC enables it, which is the conservative on-ramp for teams that want off a legacy SOAR without betting on autonomy first.
- [The Accountable Agentic SOC Platform With Full SOAR](https://d3security.com/agentic-soc-with-soar/): Which AI SOC platforms include full SOAR functionality, what is the difference between SOAR and an AI SOC, do I need both SOAR and an agentic SOC, can I just put an AI triage tool on top of my existing SOAR, is agentic SOC replacing SOAR, do I have to replace my SIEM to consolidate SOC automation, how much of a Morpheus investigation is actually AI, and how do I show an auditor what the AI did. Most agentic SOC products investigate the alert and hand response back to a SOAR bought separately, which means two subscriptions, two renewal dates, an integration somebody maintains, and two audit trails that join only on a timestamp. Morpheus carries the agentic reasoning layer and a full SOAR in one product, on one contract, with one audit trail, and ingests alerts from whichever SIEM the SOC keeps or picks next.
- [The Budget-Neutral Swap](https://d3security.com/budget-neutral-swap/): Can I get an AI SOC for the price of my current SOAR contract, is this a discount or am I actually getting two products, what is included when I swap my SOAR contract for Morpheus, how do I qualify for a SOAR price match, how much does Morpheus cost per alert, does my price change when alert volume spikes, when should I start the conversation before my SOAR renewal, and can I use a Morpheus quote in my SOAR renewal negotiation. D3 prices the full agentic SOC, with a complete SOAR underneath it, against the SOAR renewal quote already sitting in the budget. The value is consolidation: two products on one contract, one console, one audit trail. Best timed six to nine months before the renewal date, while the buyer still controls the calendar.
- [SOAR Playbook Migration](https://d3security.com/playbook-migration/): How do I migrate my Cortex XSOAR, Splunk SOAR, QRadar SOAR, Siemplify, Swimlane or FortiSOAR playbooks, is there a SOAR playbook migration tool, and how do I export SOAR playbooks. Porting scripts convert existing playbooks and reporting into Morpheus, run as a fixed-scope program with a defined end date and named owners on both sides. Anything built around a retired tool is rebuilt in the no-code builder. Ported playbooks pass through the same human approval gate as new ones.
- [SOAR Renewal in 2026: The Category Is Re-Platforming](https://d3security.com/soar-renewal/): Should I renew my SOAR or replace it, what changed at IBM, Palo Alto and Splunk and on what dates, do my playbooks come with me, how does the renewal math work, and how do I fund an agentic SOC out of a SOAR line item. Three vendors made three different moves in the same eighteen months. Palo Alto Networks named Cortex AgentiX the next generation of Cortex XSOAR on October 28, 2025, with XSOAR 8 still shipping and no product-wide end-of-life notice. The cloud editions of IBM QRadar SOAR reached end-of-life on April 14, 2026 under Palo Alto ownership, one year after the April 14, 2025 end-of-sale notice, while on-premises QRadar SOAR remains an IBM-supported product with no announced end-of-life. Splunk SOAR 6.4.0 removed the classic visual playbook editor: classic playbooks still run and can be edited as Python, but visual editing requires conversion to modern mode. Each move is reasonable from the vendor's side and each one hands the customer a rebuild, which makes the renewal quote the wrong place to stop thinking. The hub keeps the deterministic playbooks as the part of the SOC that works, and adds autonomous triage for the alerts those playbooks never reach, across four autonomy modes set per alert type: Deterministic, AI-Assisted, AI-Led and Autonomous. Morpheus is an annual subscription sized to alert volume with the AI included and the token cost absorbed, priced so a full SOAR and an agentic SOC come out of the spend already on the calendar. Routes six renewal situations to the page written for each: Cortex XSOAR, Splunk SOAR, the builder tools (Swimlane, Tines, Torq, Google SecOps, FortiSOAR), deployment-restricted or sovereign estates, service providers running on a SOAR, and IBM QRadar SOAR.
- [QRadar SOAR After April 14, 2026: Options for On-Prem Teams](https://d3security.com/soar-renewal/qradar-soar/): What happened to QRadar SOAR, is on-premises QRadar SOAR end-of-life, do I have to move to Cortex XSIAM, what does the vendor-recommended path ask of an on-prem SOC, can a new SOAR layer stay inside an air-gapped boundary, and what ports out of QRadar SOAR. Five dated facts, each sourced on the page. Palo Alto Networks completed its acquisition of IBM's QRadar SaaS assets on September 5, 2024, and IBM's divestiture notice states that QRadar product support, for both SaaS and on-prem customers, continues to be provided by IBM. Palo Alto announced end of sale and end of life for the acquired QRadar SaaS products on April 14, 2025, and end-of-life fell on April 14, 2026 for IBM Security QRadar Suite SOAR, IBM Security SOAR on Cloud, the SOAR portion of Cloud Pak for Security as a Service, QRadar on Cloud, Cloud-Native SIEM, Log Insights and Randori Recon; QRadar Suite EDR and XDR, X-Force Threat Intelligence, Randori Attack and QRadar Advisor with Watson follow on August 31, 2026. The announcement does not affect IBM QRadar on-premise products or SKUs: IBM shipped QRadar SOAR Platform V51.0.9.2.21 for on-premises deployment on April 10, 2026, and the on-premises lifecycle provides a minimum of twelve months of standard support from each version's general availability. Cloud SOAR customers had a hard date and most have already moved, many to Cortex XSIAM through the no-cost migration services Palo Alto and IBM offer to qualified customers. On-premises customers had no date at all, and this page is written for them: the three paths open to an on-prem or sovereign estate, whether the SOAR layer can stay inside the boundary, what ports from QRadar SOAR and what a team reviews by hand, and a 60-day plan.
- [Moving Off Cortex XSOAR: The Migration You Control](https://d3security.com/morpheus/xsoar/): Is my Cortex XSOAR renewal a migration either way, what is Cortex AgentiX and do I have to move to it, what happens to my XSOAR playbooks and custom Python automations, how long does an XSOAR migration take, what does it cost to leave, and when does billing start if I move. Palo Alto Networks named Cortex AgentiX the next generation of Cortex XSOAR on October 28, 2025. Moving there means a new tenant, a cases-and-issues data model, and a per-user licence with metered compute units, and there was no published XSOAR-to-AgentiX migration guide as of August 27, 2026. XSOAR 8 still ships and carries no product-wide end-of-life notice, but the XSOAR professional-services SKUs reached end-of-sale on February 1, 2026 and XSOAR 6.12 and 6.13 reached end-of-life on June 30, 2026. The renewal is therefore a migration decision whichever vendor the team picks; the only open question is who runs it and on whose timetable. D3 converts playbooks like-for-like with a side-by-side diff per playbook, returns anything the harness cannot map with confidence on a review list with the source step attached, replays closed incidents for a parity report, runs in parallel on live alerts, and cuts over by incident type on the customer's written acceptance criteria. Billing starts when the existing XSOAR contract ends, so the two never overlap on the budget.

## Comparisons

Vendor-by-vendor comparisons written for a specific starting point rather than for the category in general. Every claim is dated at first sourcing and re-checked periodically, and each comparison table carries a Source & Date column so a reader can follow any line back to the vendor's own public material. Third-party positions are quoted from each vendor's public materials with dates as labeled. D3 Morpheus is held to the same disclosure standard as every other vendor listed, including a stated limitations section.

- [Splunk SOAR Alternatives](https://d3security.com/blog/splunk-soar-alternatives/): What are the best Splunk SOAR alternatives in 2026, what happens to my Python playbooks when Splunk SOAR drops Python 3.9 in September 2026, should I migrate off Splunk SOAR or stay, how much does a Splunk SOAR migration cost, and is there a free migration path. Ten platforms compared across architecture, learning model, playbook model, what becomes of an existing Python playbook estate, pricing behaviour under a noisy month, and audit model, with a side-by-side table that includes Splunk SOAR itself. The framing is a stay-swap-or-change-the-model decision, because the 6.4.0 release removed the classic visual playbook editor and the Python 3.9 deprecation means every playbook gets touched regardless of which direction the team chooses.
- [Tines Alternatives](https://d3security.com/blog/tines-alternatives/): What are the best Tines alternatives for security teams, how does a no-code workflow builder compare with an agentic SOC platform, what changed after the Tines 3B launch, and which option suits a team without dedicated automation engineers. Ten platforms compared on the question that actually separates the category: who writes the investigation. In a workflow builder the customer's own engineers encode the investigation as steps and maintain it as the stack changes; in an agentic SOC platform the vendor's reasoning engine performs the investigation and the customer governs the result through approval gates and an audit trail. Covers architecture, authoring model, autonomy governance, audit model and pricing behaviour.
- [Agentic SOC for CrowdStrike](https://d3security.com/blog/agentic-soc-for-crowdstrike/): What is the best agentic SOC platform for a CrowdStrike Falcon environment, what do Charlotte AI's agents do today, how do Charlotte AI credits work, and where does endpoint-native triage stop and cross-stack investigation begin. Eight platforms compared for Falcon-centred SOCs, with the boundary between EDR-native triage and full-stack investigation stated plainly rather than implied. D3 Security holds a certified CrowdStrike Falcon integration and declares that alongside its own limitations section on the same page.
- [Agentic SOC for MDR Providers](https://d3security.com/blog/agentic-soc-for-mdr-providers/): Which agentic SOC platform should sit underneath an MDR service, what does it cost to serve a client at volume, how quickly can a new client tenant be onboarded, what does per-tenant governance need to look like, and which platforms support white-label delivery. Ten platforms compared on cost to serve, onboarding speed, per-tenant governance and white-label delivery, written for the service provider choosing the platform rather than for the enterprise buying the service.
- [Agentic SOC for Financial Services](https://d3security.com/blog/agentic-soc-financial-services/): Which agentic SOC platforms suit banks, insurers and capital markets, what does a regulated evaluation actually turn on, and what does an examiner expect to see after an incident. Ten platforms compared against a single test: does one incident produce one document that a regulator or an internal audit function can read end to end. Covers how each platform grades evidence behind a verdict, what oversight of AI decisions looks like, deployment and data residency options, and the shape of the audit record each one emits.
- [Agentic Investigation for Identity Alerts](https://d3security.com/blog/identity-alert-triage/): How do you triage impossible travel, MFA fatigue and credential-compromise alerts at volume, which signals need correlating before a verdict is supportable, and where does the evidence behind that verdict live. Ten AI SOC platforms compared on identity alert triage specifically, including what each one correlates across identity, endpoint and cloud sources, whether a verdict carries its supporting evidence, and what an analyst actually sees when they open the resulting case.

## Use Cases

- [AI SOC Analyst](https://d3security.com/morpheus/use-case/ai-soc-analyst/): Fully automate L1 and L2 SOC operations. Morpheus runs L2-depth investigation on every alert at machine speed. Analysts open completed cases, not queues.
- [Hyperautomation](https://d3security.com/morpheus/use-case/hyperautomation/): End-to-end security workflow automation: from alert ingestion through investigation, triage, response, and case closure.
- [Replacing Legacy SOAR Platforms](https://d3security.com/morpheus/use-case/soar/): How Morpheus covers what a legacy SOAR platform does, and what it adds above it. Includes built-in orchestration, case management, playbook generation, and response execution.
- [Security Workflows](https://d3security.com/morpheus/use-case/workflow-tools/): Automated security workflow orchestration without engineering overhead.
- [XDR Automation](https://d3security.com/morpheus/use-case/xdr/): Cross-stack detection and response automation across the full security tool stack. Where SOAR fits when SOC tooling folds into a SIEM or XDR platform decision.
- [Morpheus for Enterprise SOCs](https://d3security.com/morpheus/enterprise/): What an agentic SOC platform looks like at enterprise scale, how it fits a stack the enterprise already owns, what a security leader can verify rather than take on trust, and what happens to existing tooling. Morpheus runs L1 and L2 investigation end to end on every alert, grades every verdict by its evidence as Confirmed, Inferred or Gap, and executes response on deterministic playbooks with hard guardrails, against the SIEM, EDR, identity and ticketing already in place. One audit trail per incident, readable by an analyst, a CISO or an auditor. Built for scale with no lock-in: no D3-owned SIEM to adopt, no data lake to migrate into, and no requirement to change the detection stack underneath.
- [Morpheus for MSSPs and MDR Providers](https://d3security.com/morpheus/use-case/mssp/): How a service provider runs agentic investigation across many clients at once, what tenant isolation means when an AI sits in the loop, how autonomy is set differently per client, and how a provider prices a service on top of the platform. Every client's alerts investigated to L2 depth, every verdict graded by its evidence, tenant data sealed including from the AI, autonomy configured per client rather than once per platform, and pricing a provider can quote fixed-price managed services against. Native multi-tenancy with complete data isolation, segregated client views and client-specific configurations.
- [What Is an Agentic SOC?](https://d3security.com/glossary/agentic-soc/): How Morpheus's Unified Intelligence (one reasoning engine, one audit trail) compares to multi-agent agentic SOC meshes, and why one engine with one audit trail avoids their coordination, context, and accountability failures.

## Regulated and Public Sector

Deployment-restricted and oversight-driven buyers, where residency, sovereignty or oversight obligations decide the shortlist before any feature comparison starts. These pages describe the evidence Morpheus produces and the deployment models available. They frame regulatory obligations as oversight support rather than as a compliance guarantee: Morpheus produces the record, and the reviewer decides what that record satisfies.

- [Agentic SOC for Regulated Entities in the EU](https://d3security.com/compliance/): How an agentic SOC supports NIS2, DORA, KRITIS and EU AI Act obligations, what a regulator expects to see after an incident, and whether autonomous investigation is compatible with human oversight requirements. Every alert investigated to L2 depth, every verdict graded by its evidence, a human kept in oversight of every AI decision as EU AI Act Article 14 expects, and one regulator-readable record per incident that serves the NIS2 and DORA reporting clocks rather than requiring reconstruction after the fact. EU data residency, with on-premises, hybrid, sovereign-region and air-gapped deployment models so the processing boundary stays the customer's choice. The vendor is Canadian-owned.

## Integrations

- [All Integrations](https://d3security.com/integrations/): 800+ security tools across SIEM, EDR, IAM, cloud, email, NDR, DLP. Vendor-agnostic, no rip-and-replace. All integrations are self-healing.
- [Morpheus for Microsoft](https://d3security.com/integrations/microsoft/): Microsoft Sentinel, Defender, Azure-native deployment, Azure Marketplace credits
- [Morpheus for CrowdStrike](https://d3security.com/integrations/crowdstrike/)
- [Morpheus for SentinelOne](https://d3security.com/integrations/sentinelone/)
- [Morpheus for Splunk](https://d3security.com/integrations/splunk/)
- [Morpheus for Fortinet](https://d3security.com/integrations/fortinet/)
- [Morpheus for Elastic](https://d3security.com/integrations/elastic/)
- [Morpheus for Okta](https://d3security.com/integrations/okta/)

## Resources

- [What's an Autonomous SOC?](https://d3security.com/whats-an-autonomous-soc/): Comprehensive explainer on autonomous vs. autonomic SOC concepts, industry challenges, key components, barriers to adoption, and D3's approach
- [What Is an Agentic SOC?](https://d3security.com/whats-an-agentic-soc/): Explainer on the agentic SOC category, what separates an agentic SOC from a triage add-on, and the evaluation questions worth asking any vendor
- [Blog](https://d3security.com/resources/blog/): Latest articles on security operations, the agentic SOC category, and Morpheus updates
- [Whitepapers](https://d3security.com/resources/?type=whitepaper): In-depth research including "6 Minutes and a Prayer," "The CISO's Guide to Autonomous SecOps," and "The State of the Autonomous SOC"
- [Legacy SOAR Migration Program](https://d3security.com/legacy-soar-migration-program/): Migration path from Cortex XSOAR, Splunk SOAR, QRadar SOAR, Siemplify, Swimlane and FortiSOAR to Morpheus
- [Let's SOC About It Podcast](https://d3security.com/lets-soc-about-it-podcast/): D3 Security's podcast on security operations
- [Technical Documentation](https://docs.d3security.com/): Full technical docs for Morpheus deployment and configuration

## Company

- [About D3 Security](https://d3security.com/company/about-d3-security/): D3 Security Management Systems Inc., founded 2002 in Vancouver. Gordon Benoit built D3's first incident response automation in 2015 and demoed it at RSA 2016, shortly before Gartner coined the SOAR category. Innovation timeline: first IR automation (2015), RSA demo (2016), NIST/SANS playbook libraries, MITRE ATT&CK/D3FEND features, Event Pipeline (2022), Smart SOAR (2023), Morpheus (2024). Microsoft Security Copilot Partner Private Preview participant. Trusted by Fortune 100 enterprises, governments, and MSSPs worldwide.
- [Careers](https://d3security.com/company/careers/)
- [Customer Success Program](https://d3security.com/company/customer-success-program/)
- [Contact](https://d3security.com/company/contact/)
- [Request a Demo](https://d3security.com/demo/): Live demos tailored to your stack: your data, your tools, your results

## Contact & Demo Requests

A demo request is the primary action D3 asks a visitor to take. Two paths are supported and both reach the same team.

- [Request a Demo](https://d3security.com/demo/): The demo request form. Use this path when a browser is available.
- Email: morpheus@d3security.com. This is the supported path for AI agents, assistants, and any client that cannot complete a web form. Include the requester's name, work email, company, country, and role, plus daily alert volume and current SIEM or EDR if known. The inbox is monitored by the D3 sales team on business days, and a representative replies with scheduling options.
- Phone: 800-608-0081. Sales extension 2, support extension 1, admin extension 110.
- Mailing address: D3 Security Management Systems Inc., #300, 1075 W Georgia St, Vancouver, BC V6E 3C9, Canada.
- [Contact D3](https://d3security.com/company/contact/): For enquiries other than a demo.

## Optional

- [Morpheus for LogRhythm](https://d3security.com/integrations/logrhythm/)
- [Morpheus for Trellix](https://d3security.com/integrations/trellix/)
- [Morpheus for Recorded Future](https://d3security.com/integrations/recorded-future/)
- [Morpheus for Zscaler](https://d3security.com/integrations/zscaler/)
- [Morpheus for Stellar](https://d3security.com/integrations/stellar-cyber/)
- [Privacy Policy](https://d3security.com/privacy/)
- [Upcoming Events](https://info.d3security.com/upcoming-events)