PLATFORM COMPARISON
D3 Morpheus vs. Torq — a comparison you can check
Torq is a well-funded hyperautomation platform with a broad channel and, since July 2026, a self-learning layer called SOC Brain. If you’re evaluating them, you’re asking the right category questions. Here’s how the two platforms actually differ — with dates and sources, so you can check everything.
Last reviewed: August 2026 · Every Torq claim on this page is quoted from their own public materials and linked to the source.
What learns, and what the learning becomes
Both platforms take a signal from your analysts. The difference is what the signal becomes. Torq’s SOC Brain trains models to match the verdicts your analysts reach. D3 Morpheus, the accountable agentic SOC platform, turns a correction into a reusable skill that hardens into a human-approved, versioned playbook. One learns the label. The other learns the operation.
Torq
SOC Brain includes Reflex, described as dedicated models trained on confirmed verdicts and corrections (as announced July 28, 2026). The output of that training is a better label: the system gets closer to the verdict your analysts would have reached.
D3 Morpheus
An analyst override becomes a SOC Skill. A skill that proves itself hardens into a deterministic playbook that runs the same way every time. Every step is human-approved and versioned, so a change to behavior has an owner and a date. Shipping since January 2026 — see the release history.
The practical test is what the system can hand to an auditor. A trained model can tell you what it would decide. A versioned playbook can tell you what it did, why, and who approved the change that made it behave that way.
Memory
Every agentic platform needs somewhere to put what it has seen. The question is whether that store is a retrieval index or an operational record.
Torq
Precedent retrieval on observables, plus context graphs, arriving via the Jit acquisition, closed May 19, 2026.
D3 Morpheus
The Security Memory Graph is a per-customer record of operational history. Every agent reads from it and writes to it, and you can query it in natural language. Learning stays inside your tenant: no pooling across customers, no shared model parameters. Shipped December 2025 — see the release history.
One factual note on sequence: D3’s memory graph shipped five months before Torq acquired its graph technology.
Cold start
A system that learns from your history is only as good as your history. The gap is the attack you have not seen yet.
Torq
Retrospect imports resolved incidents (as announced July 28, 2026). That is your history: the attacks your team has already seen and closed.
D3 Morpheus
Attack Simulation pretraining runs across MITRE ATT&CK, with lab fine-tuning graded against ground truth. That covers the attacks you have not seen. Shipped December 2025 — see the release history.
Worth asking either vendor in a demo: on day one, before it has processed a single one of my alerts, what does it know?
When it’s wrong — the one that matters
Every platform demos well on a clean alert with every source available. Production is not that. The log source times out, the evidence is thin, and sometimes the system simply cannot know.
Torq
The SOC Brain announcement (July 28, 2026) describes confidence thresholds with escalation to a human. The launch materials do not address what the system does when evidence is missing or a tool fails.
D3 Morpheus
Inconclusiveness is a designed outcome rather than an error state. Evidence is graded CONFIRMED, INFERRED, or GAP. “Open — a human should look” is a first-class disposition. The query layer fails open, and rule sanity-checking catches a rule that does not hold. Weak evidence never closes an alert. When Morpheus is uncertain, it defers to a human.
This is the behavior we would most like you to test rather than take on trust. The Morpheus Challenge protocol includes an evidence test for exactly this: cut off a source mid-investigation and watch what each system does.
Provenance
Where a capability came from determines how many data models hold your context, and whether one audit trail crosses all of them.
Torq
Two dated acquisitions sit underneath the SOC Brain story: Revrod, announced April 16, 2025, and Jit, closed May 19, 2026.
There is a small irony here that we will note once and then leave alone. At the SOC Brain launch, Torq argued that retrieval is not learning (SiliconANGLE, July 28, 2026). The April 2025 Revrod announcement described the company’s “advanced multi-agent RAG capabilities”. Both statements can be true at once. RAG is retrieval, retrieval is genuinely useful, and it still isn’t learning. That last part is the bit we agree on.
D3 Morpheus
One codebase, built in-house over two years on D3’s own deterministic engine. Investigation, memory, and response were designed against the same data model rather than joined to it afterward.
The question worth putting to any vendor: how many data models hold your context, and does one audit trail cross all of them?
Pricing model
The structural question is not the headline number. It is what the bill does in your noisiest month.
Torq
Torq’s public pricing constructs are AI Credits: a monthly allocation, overage packages, and per-execution consumption. Under a consumption model, the cost of investigation rises during the periods when investigation matters most.
D3 Morpheus
Predictable and token-inclusive. The AI is in the platform price, not on a usage meter, so a bad week does not arrive twice. We only win when your SOC gets quieter. See Morpheus pricing.
Five questions to ask every vendor
Bring these to every demo you sit through, including ours.
- Run the same alert ten times. Do the conclusions — and the reasoning — match?
- Cut off a log source mid-investigation. Does it say so, or does it produce an answer anyway?
- Ask what the system learned from your analysts last month — and who approved it.
- Ask how many data models hold your context, and whether one audit trail crosses all of them.
- Ask what the bill looks like in your noisiest month.
The first two are a written protocol you can run yourself: the Morpheus Challenge includes the 10-run test and the evidence test, ungated, with a scoring sheet. Run it against us and against anyone else you are evaluating.
Frequently asked questions
Is Torq SOC Brain the same as D3 Morpheus’s self-learning?
They solve the same problem differently. SOC Brain (announced July 2026) trains models to match your analysts’ verdicts. Morpheus (learning architecture shipping since January 2026) turns analyst corrections into reusable skills that harden into deterministic, human-approved playbooks — learning that changes how the SOC operates, not just what label it picks.
What happens when each platform can’t reach a verdict?
Torq’s SOC Brain launch describes confidence-gated automation with human escalation. Morpheus makes inconclusiveness a standard outcome: evidence is graded CONFIRMED / INFERRED / GAP, and ‘Open — a human should look’ is a first-class disposition. Weak evidence never closes an alert.
Which shipped first?
See D3’s dated release history: security memory graph and attack-simulation pretraining (December 2025), tenant-scoped learning architecture (January 2026), deterministic shape-replay (March 2026). Torq announced SOC Brain on July 28, 2026.
How do the pricing models differ?
Torq’s public pricing uses AI Credits (monthly allocations with overage packages). Morpheus is priced predictably with tokens included — cost doesn’t spike when your environment gets noisy.
Judge us on evidence
Thirty minutes, your alert set, both tests run live. Bring the protocol.
D3 Security is not affiliated with Torq. All trademarks are the property of their respective owners. Every Torq claim on this page is quoted from Torq’s own public materials and linked to its source, with the date of publication. Claims are accurate as of August 2026 and are re-verified when Torq publishes new material. If you believe anything here is inaccurate, tell us and we will correct it.