Operate Risk Intelligence From Signal to Delivery
Command lets organizations and service providers build customer-specific intelligence pipelines, staff them with tiered digital analyst roles, control models and budgets, track standing threats, and deliver evidence-backed alerts and reports through a complete review chain.
Early access is offered through focused evaluations. Command pricing is not yet published.
When to Choose Command
Use Command when intelligence has to run as an operation
Command is for teams that need repeatable adjudication, customer separation, review tiers, budget control, persistent monitoring, evidence-backed reporting, and an audit trail—not merely another stream of alerts.
You operate intelligence for multiple customers or business units
Use one organization account while keeping each customer’s data, workflows, programs, reporting, portal access, model policy, and spend fully separated.
High-volume review needs a consistent operating model
Put every event through a defined adjudication chain instead of relying on ad hoc analyst judgment, inbox rules, or disconnected spreadsheets.
Critical decisions require review and proof
Require manager or CSO-level approval, preserve the reasoning and confidence behind every decision, and trace each alert or report back to its evidence.
Recurring monitoring must produce more than alerts
Cluster related activity into standing signals, re-verify them over time, and compile scheduled intelligence reports from adjudicated evidence.
Model cost and customer budgets must be controlled
Meter every processing action, see per-decision cost, set customer budgets and thresholds, and automatically pause a runaway pipeline.
Customers need branded delivery without direct platform access
Provide controlled, read-only portals, branded reports, scheduled delivery, and redaction rules for exactly what each customer can see.
Organizations and Customers
One operation, many separated customers
Run Command as an internal intelligence operation or a service provider. Configure each customer independently without creating a separate deployment for every program.
Multi-customer operations
One organization can manage many customers with separated data, workflows, programs, reporting, portal visibility, model access, budgets, and spend.
Customer-specific configuration
Tailor pipelines, brand terms, taxonomy, review policy, report branding, schedules, thresholds, model catalog, and delivery for each customer without a separate deployment.
Teams and roles
Invite and manage internal users with role-based access while providing customers a controlled read-only portal for their intelligence.
The Digital Workforce
Staff every customer with defined analyst roles
Command uses named AI analyst agents—virtual analysts—with assigned roles, skills, models, review authority, and budget controls. The point is not anonymous automation; it is a visible workforce where every decision can be traced to who made it and why.
Named analyst agents
Create named personas with a defined role, assigned skills, and an approved AI model.
Tiered review chains
Mirror a real intelligence or security operation: Tier 1 adjudicates, a manager reviews potential threats, and a CSO-level role handles critical escalation.
Signed decisions
Every decision records who made it, the reasoning, confidence, category, policy version, processing units, and cost.
Budget controls
Set monthly customer budgets, alert thresholds, and automatic pause conditions so pipelines stop safely when limits are reached.
What the workforce can do
Data Sources
Bring in Scout intelligence or external events
Scout feeds
Continuous monitored content from the open, social, and deep web using the customer’s Scout terms and taxonomy.
Inbound webhooks
Push events from external systems into a customer workflow.
Scheduled pulls and HTTP requests
Fetch from APIs on a cadence and return the result to the pipeline.
Manual and event triggers
Run a workflow on demand or when a defined event occurs.
Visual Workflows
Build the operating policy as a diagram
Compose no-code pipelines on a drag-and-drop canvas, version them, run customer-specific instances, and test against live feeds before enabling.
Triggers
Feed polling, webhooks, schedules, events, program ingestion, and monitoring windows.
Routing logic
Conditions, multi-way switches on any field or decision, branch merging, thresholds, and customer-specific escalation policy.
Analyst steps
Run any approved workforce skill at any review tier, with conditions controlling when deeper review is required.
Approval gates
Hold alerts, reports, verdicts, and other consequential actions until the configured sign-off is complete.
Actions
Create alerts, send email, post webhooks, call HTTP APIs, capture screenshots, generate and deliver reports, and write verdicts back to Scout.
Fan-out and reuse
Fork an event into another workflow or monitoring program so one ingestion can support multiple customers, reports, or use cases without duplicate collection cost.
Standing Coverage
Monitoring programs that remember what is still unfolding
Command turns recurring feeds into customer programs with continuous adjudication, persistent signals, duplicate control, precedent recall, scheduled re-verification, and report windows.
Standing monitoring programs
Define brand terms and variants, routing categories, schedules, thresholds, customer context, and reporting windows.
Continuous adjudication
Triage new events on a cadence and sweep in late-arriving content so program coverage remains current.
Persistent threat signals
Cluster related events into signals that persist, age, carry over between windows, and are re-verified on schedule.
Duplicate and precedent control
Collapse exact matches and near-duplicates by meaning, then recall how similar past events were decided for greater consistency.
Scheduled intelligence reporting
Compile reports from adjudicated events and signals using customer time zones, templates, review chains, and delivery schedules.
Reports and Delivery
Every report remains tied to its evidence
Command produces scheduled, customer-branded intelligence through a controlled review chain. Claims are checked against the source evidence before delivery, and the complete lineage remains available afterward.
Customer-branded reports
Use templates and branding configured for the customer or service provider.
Approval before delivery
Require the configured manager and CSO-level review chain before a report or critical alert is released.
Evidence built in
Include source links, captured screenshots, contributing events, and the decisions supporting each reported finding.
Claim verification
Check report language against the underlying evidence and flag unsupported drift before delivery.
Portal and redaction controls
Deliver scheduled reports through a customer portal while controlling what end users can see.
Full lineage
Trace any report back to every contributing signal, decision, source event, policy version, and review step.
Model Strategy
Choose the models that fit the customer and task
Provider choice
Use Anthropic Claude, OpenAI, Moonshot Kimi, xAI Grok, or approved self-hosted models.
Organization model catalog
Set organizational defaults and restrict which models individual customers, workflows, or roles may use.
Provider flexibility
Switch or mix providers without rebuilding the workflow logic.
Encrypted credentials
Store provider API keys encrypted and keep them hidden from customer users and workflow viewers.
Visibility, Cost, and Trust
See how the operation is performing
Program operations dashboard
Review events received, kept rate, review depth, verification failures, active signals, report-chain status, and window cost for each customer.
Drill-through metrics
Open the queue behind each metric instead of relying on a disconnected summary number.
Weekly trends
Compare event volume, decisions, review activity, signals, and spend over time.
Attention thresholds
Surface stale reviews, failed verification, blocked report chains, budget pressure, and other operating conditions before customers notice.
Complete audit trail
Preserve decisions, approvals, policy versions, costs, workflow versions, source events, screenshots, report lineage, and delivery actions.
Customer-level security
Maintain customer data separation, modern session and login protection, strong password policy, encrypted credentials, role-based access, and portal redaction.
Configured consequence controls
Alerts and reports do not leave the system until the review and approval chain configured for that customer has completed.
Use-Case Patterns
What organizations build with Command
Brand threat monitoring
Scout feed → Tier-1 adjudication → manager escalation → customer alert → scheduled intelligence reporting.
Explore the use caseExecutive and VIP protection
Persona-targeted monitoring → high-severity routing → CSO-level review → evidence capture → immediate protected-team alert.
Explore the use caseFraud and phishing triage
Inbound events → classification → risk scoring → evidence review → alert or dismissal with a complete decision record.
Explore the use caseMSSP intelligence-as-a-service
Many customers → separate pipelines and budgets → one digital workforce model → branded reports and customer portals.
Explore the use caseTrust and safety review
High-volume review queues → tiered decisions → precedent consistency → critical approval for consequential actions.
Explore the use caseStanding threat tracking
Related events → persistent signal → scheduled re-verification → trend analysis → reporting across campaigns that unfold over time.
Explore the use caseChoose the Right Product
Scout Detects. Nexus Connects. Command Operates.
Start with Scout
Continuously monitor public content or customer data, classify risk, preserve evidence, investigate, and deliver alerts.
Add Nexus
Resolve entities, connect evidence, investigate relationships, correlate across cases, and retain organizational knowledge.
Use Command
Run customer-specific intelligence programs through tiered review, approval, signal tracking, reporting, portals, budgets, and audit controls.
Evaluate Command Against Your Operating Model
Early access is structured around a focused evaluation of your customer program, review policy, reporting requirement, workflow, or monitored feed. Command pricing is not yet published.