CLEARGLASS // AI SOC COMMAND CENTRE
SIMULATION ONLINE
BRIEFING
AEGIS / ARTEMIS-INSPIRED SECURITY OPERATIONS SIMULATION

Observe the agents. Audit the evidence.

A production-minded front-end simulation of a governed AI SOC: persistent agents, shared tasks, collaboration, provenance, terminal telemetry and auditable decision trails. This demo intentionally does not execute real commands or access live infrastructure.

MULTI-AGENTEVIDENCE-FIRSTAUDITABLENON-DESTRUCTIVE
ACTIVE AGENTS
6
specialized roles
OPEN TASKS
8
priority weighted
THROUGHPUT
74%
simulation efficiency
EVIDENCE ITEMS
27
hash-linked records
AUDIT EVENTS
143
immutable-style log
01 // OFFICE FLOOR
LIVE MAP
SOC OPERATIONS
THREAT HUNT LAB
GOVERNANCE ROOM
INCIDENT COMMAND
EVIDENCE VAULT
WORKINGTHINKINGALERTCOLLABORATING
02 // AGENTS
PERSISTENT CONTEXT
03 // TASK QUEUE
AUTO-DELEGATION
04 // AGENT TERMINAL
SELECT AN AGENT
05 // ACTIVITY FEED
WEBSOCKET-LIKE STREAM
06 // PROVENANCE / AUDIT
CHAIN OF CUSTODY
07 // AGENT PROFILE
DECISION CONTEXT
08 // ARCHITECTURE CONTRACT
MVP → PRODUCTION
Frontend
React + TypeScript + PixiJS/Phaser + Zustand + Framer Motion
Backend
FastAPI + PostgreSQL + Redis + WebSockets
AI Control Plane
Provider abstraction • agent memory • delegation • tools • policy gates
Evidence Plane
immutable-style audit events • provenance manifest • evidence hashes • review gates
09 // OPERATING PRINCIPLES
CLEARGLASS
Evidence before narrative.
Observed fact → collected evidence → provenance → analysis → decision → review. Every agent action is designed to leave an auditable trace.
The simulator is intentionally non-production: no live credentials, no arbitrary shell execution, no live network actions, and no claim that generated agent output is authoritative.