Level 4: Fleet Assessment     "How risky is our entire agent infrastructure?"
Level 3: System Assessment    "How risky is this application/platform?"
Level 2: Agent Assessment     "How risky is this specific agent?"
Level 1: Session Assessment   "How risky was this particular session?"

agent_risk = (
  0.20 × historical_event_risk +
  0.15 × privilege_footprint +
  0.15 × behavioral_consistency +
  0.15 × policy_compliance +
  0.10 × data_sensitivity_exposure +
  0.10 × external_communication_risk +
  0.08 × mcp_trust_surface +
  0.07 × trend_trajectory
)

{
  "agent_id": "support_bot_v3",
  "agent_risk_score": 34,
  "risk_level": "medium",
  "dimensions": {
    "historical_event_risk": {"score": 22, "weight": 0.20},
    "privilege_footprint": {"score": 58, "weight": 0.15},
    "behavioral_consistency": {"score": 15, "weight": 0.15},
    "policy_compliance": {"score": 8, "weight": 0.15},
    "data_sensitivity_exposure": {"score": 45, "weight": 0.10},
    "external_communication_risk": {"score": 62, "weight": 0.10},
    "mcp_trust_surface": {"score": 10, "weight": 0.08},
    "trend_trajectory": {"score": 38, "weight": 0.07}
  },
  "risk_drivers": [
    {
      "dimension": "external_communication_risk",
      "score": 62,
      "explanation": "Sends data to 3 external endpoints including 1 not on whitelist",
      "recommendation": "Review and whitelist api.analytics-partner.io"
    }
  ],
  "trend": {
    "7d_avg": 18,
    "14d_avg": 21,
    "30d_avg": 22,
    "direction": "improving"
  }
}

{
  "fleet_risk_score": 31,
  "total_agents": 23,
  "total_systems": 4,
  "systems": [
    {"system": "customer_support", "score": 38, "agents": 7},
    {"system": "code_review", "score": 22, "agents": 5},
    {"system": "data_pipeline", "score": 45, "agents": 8},
    {"system": "sales_outreach", "score": 18, "agents": 3}
  ],
  "fleet_stats": {
    "total_actions_30d": 2847000,
    "total_policy_violations_30d": 342,
    "violation_rate": "0.012%"
  }
}