Command Zero
Also known as: CommandZero, Command Zero Throughline, Custom Questions
Autonomous cyber investigation platform built on encoded expert questions rather than playbooks, connecting read only to existing security data with a shared auditable record for both analysts and AI agents.
Command Zero is an autonomous and AI assisted cyber investigation platform for complex enterprise environments, headquartered in Austin with a presence in Calgary. It is backed by a16z, Insight Partners, Crosspoint Capital, Schneider Electric Ventures and Okta Ventures, took a $10 million strategic investment in July 2025 alongside achieving SOC 2 Type 2, and was a top ten finalist in the 2025 RSA Innovation Sandbox.
The organising idea is the question. Investigations are assembled from questions rather than playbooks, and Custom Questions lets a team encode its best analysts' logic into repeatable investigative sequences, covering both broad hunting questions and pointed lead based ones. Analysts and AI agents work from that same encoded knowledge base, which is what makes outcomes consistent regardless of who or what handles a case. The platform connects through a federated, read only architecture directly to identity systems, EDR, cloud platforms, SaaS and SIEM with no ingestion or migration, so investigative capability is decoupled from data storage and a newly acquired environment is visible on day one.
Autonomy is explicitly two mode. In autonomous mode agents investigate, classify, document and close routine alerts and escalate only what matters. In assisted mode analysts drive and the AI supplies context, queries and structure. Agents hand human analysts their tools, context and findings rather than a verdict alone, and the company states the position plainly as augmentation rather than replacement. Every decision lands in a shared auditable record used by humans and agents alike.
Two 2026 releases matter for how it should be compared. In April it shipped broad API endpoints and a Model Context Protocol server, so teams wire the platform into SOAR playbooks, custom hunting frameworks and AI agents including Claude without waiting on a vendor roadmap. At Black Hat in August it introduced Throughline, living investigations that update cases and revise verdicts over time rather than resolving at a point in time, which the company reports cut the verdicts analysts had to consider by up to 41 percent across a month of production alerts.
Vendor details
Canonical URL
https://www.commandzero.ai
Category
Security / SOC agent
Company status
independent
Use cases & customers
Target customers
Deployment options
In practice
Your tier 2 and tier 3 work depends on a handful of people who know each tool deeply. Custom Questions encodes that logic into repeatable investigative sequences so any analyst or agent reaches the same conclusion.
You have just acquired a company and have no visibility into its environment. The federated read only model connects to its existing data sources with no ingestion or migration, so investigations run on day one.
You want the platform inside your own pipelines rather than another console. The API endpoints and MCP server let SOAR playbooks, custom hunting frameworks and agents like Claude query the same governed, auditable data that produces every verdict.
Sources & related URLs
Research sources
Agentic Index coverage score
11.0 / 14 capabilities · 79%
| Integrations & Tool CallingFederated read only connections directly to identity providers, EDR, cloud platforms, SaaS, on premises systems and SIEM with no ingestion or migration, correlating across all of them in a single investigation. Command Zero homepage and award profile 2026-08-05 | Full |
|---|---|
| Workflow OrchestrationAgents investigate, classify, document and close routine alerts and escalate the rest, running investigative flows assembled from questions rather than playbooks, with conclusion driven response actions such as isolate, disable or block tied to the analysis. 2026-08-05 | Full |
| Knowledge Grounding & RAGAn expert encoded knowledge base is the platform's foundation, shared by analysts and AI agents so outcomes are consistent across tiers, combined with direct federated access to the customer's live security data. 2026-08-05 | Full |
| Human Oversight & GuardrailsTwo explicit modes, autonomous and assisted, with agents handling routine cases and passing their tools, context and findings to human analysts for complex ones. The company states the position as augmentation rather than replacement, and escalation is by design rather than exception. 2026-08-05 | Full |
| Security, Identity & GovernanceSOC 2 Type 2 achieved and announced in July 2025, alongside a read only federated architecture that never moves or stores customer data, which is a substantive governance property rather than a claim. 2026-08-05 | Full |
| Observability & AuditabilityAnalysts and AI agents share a single auditable record of every investigation decision, every step is documented and repeatable with automated reporting, and the same governed data is exposed through the API. Agent level auditability, not activity logging. 2026-08-05 | Full |
| Memory & State PersistenceThroughline makes investigations living rather than point in time, carrying case updates and verdict revisions forward, and the platform captures and compounds organisational knowledge over time so expert logic becomes reusable across analysts and agents. 2026-08-05 | Full |
| Deployment & Data ResidencyThe federated read only model means customer data is never ingested or migrated and investigative capability is decoupled from data storage, but the platform itself is vendor hosted with no self hosted or regional residency option documented. Contrast with crogl, which installs locally and grades F. 2026-08-05 | Partial |
| Prebuilt Agents, Templates & PacksShips a library of questions as the logical building blocks of every flow, plus packaged use cases covering phishing decomposition, user and identity investigation, threat hunting and incident response, with Custom Questions for extending the set. 2026-08-05 | Full |
| Triggers & Channel CoverageRuns 24 hour autonomous investigation on incoming alerts, supports on demand hunting questions across the environment, and is reachable programmatically through APIs and an MCP server as well as its own interface. 2026-08-05 | Full |
| Model Flexibility & RoutingAdvanced large language models are used within the platform, but no model list, routing policy, model selection or bring your own key capability is documented. 2026-08-05 | Unable to verify |
| APIs, SDKs & MCP ExtensibilityBroad API endpoints plus a Model Context Protocol server shipped April 2026, documented as letting Claude and other MCP compatible agents query the platform directly to run health checks, list investigations, triage cases and build dashboards, and letting teams wire it into SOAR playbooks and custom hunting frameworks. 2026-08-05 | Full |
| Testing, Debugging & OptimizationThroughline was battle tested against a month of production alerts in customer environments with a reported 41 percent reduction in verdicts analysts had to consider, and outputs are consistent and repeatable by design, but no evaluation harness, published benchmark or regression suite is documented. 2026-08-05 | Partial |
| Browser & Computer UseThe platform queries security data sources through federated read only connections rather than operating their interfaces, and no browser control or computer use capability is documented. 2026-08-05 | Unable to verify |
The Agentic Index coverage score grades every vendor Full, Partial or Unable to verify against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Pricing
Not published; quote only
not disclosed
What is public
Nothing on price. Capability, architecture and security posture documentation is detailed.
Billing mechanics
Quote based enterprise subscription with no published rate card, tiers or billing unit.
Cost watchouts
None surfaced in the material retrieved; the federated read only model avoids the data ingestion and storage costs that accompany SIEM centric alternatives
Variable cost rationale
With no disclosed unit the exposure cannot be modelled, though the absence of data ingestion removes the storage cost escalation that usually accompanies scaling investigation coverage.
Additional watchouts
Buyers should establish the billing unit early given the category's history with per alert pricing. Worth confirming whether the API endpoints and MCP server are included in the base subscription, since they are the route to embedding the platform in existing pipelines rather than adopting another console.
Sales call required
Yes, required for paid access
Free / trial
No published free tier or self serve trial; evaluation runs through a sales process
Commercial notes
The federated read only architecture removes a cost line that shapes buying in this category: because nothing is ingested or migrated, there is no storage or data pipeline spend attached to adoption, and an acquired environment can be brought into scope without an integration project. That is a commercial argument as much as a technical one.
Key ambiguities
No rate, tier or billing unit is published or estimated anywhere retrieved. Whether pricing tracks alert volume, investigations, analyst seats or connected data sources is unknown, and that distinction matters in a category where per alert pricing is a documented trap.
Missing data
Rate, tiers, billing unit, minimum commitment and whether the API and MCP access are included or separately licensed.
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Alternatives to Command Zero
The closest documented capability profiles to Command Zero among security and SOC agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- depthfirst11.0 / 14Fuller documented coverage on Testing, Debugging & Optimization
- Palo Alto Networks11.0 / 14Adds documented Model Flexibility & Routing
- Seemplicity10.0 / 14A lighter documented profile than Command Zero
- SentinelOne11.0 / 14Adds documented Model Flexibility & Routing
- ThreatModeler12.0 / 14Adds documented Model Flexibility & Routing
- Torq10.0 / 14A lighter documented profile than Command Zero
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded