Make the simulation observable, not decorative.
A generic AI office demonstrates that agents can occupy shared space, receive tasks and communicate. A ClearGlass SOC model turns those mechanics into an operational visualization: alerts enter a queue, specialized agents form hypotheses, policy gates constrain action, evidence gets linked to provenance records, and incident response is coordinated through explicit state.
Six roles, one shared mission.
Correlates alerts, enriches identity and device context, prioritizes triage and prepares escalation packets.
Investigates indicators, tests hypotheses, pivots across telemetry and proposes detection improvements.
Evaluates policy compliance, confidence thresholds, approval requirements and automation boundaries before consequential actions.
Coordinates containment workstreams, tracks dependencies and turns validated findings into controlled response actions.
Maintains evidence lineage, record identity, timestamps and chain-of-custody state so decisions remain defensible.
Transforms confirmed behavior into testable analytic rules, detection content and repeatable control improvements.
Designed to grow from visual MVP to real platform.
Core data objects
Agent → Task → Subtask → Event → Evidence → PolicyCheck → Decision → Review → AuditEvent
What the operator can see.
Agents move between SOC Operations, Threat Hunt, Governance, Incident Command and Evidence Vault according to work state.
Tool plans, status changes, policy checks, evidence writes and simulated command output stream into the selected agent view.
Cross-agent events make collaboration visible without exposing hidden chain-of-thought. The interface shows concise decision summaries and operational state.
Every material event can carry a source, timestamp, provenance identifier and integrity marker.
Users can assign tasks, delegate work, monitor progress, observe bottlenecks and inspect completion state.
Throughput, utilization, evidence count, queue pressure and audit volume become management signals for the operating model.
Simulation first. Production later.
The live page currently uses deterministic simulated state and deliberately does not execute arbitrary commands, use credentials, access live infrastructure or claim that generated text is authoritative. That separation is intentional: it lets ClearGlass validate the interaction model and governance UX before connecting authenticated tools.
MVP → platform.
Build the command surface around trust.
A visually engaging agent office is the entry point. The higher-value system is an observable operating model where agent actions are bounded by policy and backed by evidence. That is the ClearGlass direction: turn scattered technical activity into transparent, defensible decisions.
LAUNCH THE SIMULATION ↗