{
 "public_id": "AIR-2025-0033",
 "incident_id": "2025-05-serviceaide-catholic-health-elasticsearch-exposure",
 "date_disclosed": "2025-05-09",
 "date_occurred": "2024-11-15",
 "title": "Misconfigured Elasticsearch in Serviceaide's agentic AI IT-management platform exposed 483,000 Catholic Health patients' records",
 "class": "in_the_wild",
 "attack_surface": "agent_framework",
 "initial_vector": "misconfigured_datastore",
 "agent_capability_abused": [
  "data_indexing",
  "retrieval",
  "workflow_automation"
 ],
 "target_product": "Serviceaide (agentic AI IT service management)",
 "target_vendor": "Serviceaide / Catholic Health",
 "autonomy_level": "semi_autonomous",
 "impact_realized": true,
 "impact_type": [
  "privacy_violation",
  "information_disclosure",
  "credential_exposure"
 ],
 "blast_radius": "483,000 patients of a six-hospital western New York network; medical records, insurance details and login credentials",
 "cve": [],
 "taxonomy": {
  "owasp_asi": [
   "ASI02"
  ],
  "mitre_atlas": [],
  "labels": [
   "misconfiguration",
   "retrieval_index_exposure",
   "phi",
   "hipaa_reportable",
   "class_action"
  ]
 },
 "defense_present": "access controls on the datastore",
 "defense_bypassed": true,
 "fix_shipped": "exposure closed; reported to HHS as unauthorised access/disclosure; individuals notified",
 "primary_sources": [
  "https://cybernews.com/news/serviceaide-catholic-health-leak/",
  "https://incidentdatabase.ai/cite/1070"
 ],
 "verified_quote": "Serviceaide, a provider of agentic artificial intelligence-based IT management and workflow software, reported to regulators that an inadvertent exposure of data on the web has affected more than 483,000 patients of client Catholic Health, a network of six hospitals and dozens of other facilities in western New York.",
 "confidence": "high",
 "notes": "No model was attacked. The agent platform needed a searchable index over patient records to function, and the index was reachable from the internet. Retrieval infrastructure is the soft underbelly of agentic deployments: it concentrates exactly the data the agent needs and inherits none of the model's guardrails. Discovered 2024-11-15, reported to HHS 2025-05-09. AI Incident Database incident 1070.",
 "risk_category": "privacy",
 "risk_secondary": [
  "legal_ip"
 ],
 "risk_subcategory": "PII Leakage",
 "risk_sub_secondary": [],
 "ai_entity": "generative",
 "agency": "ai_as_target",
 "agency_debatable": false,
 "agency_reason": "a misconfigured Elasticsearch index exposed patient records; no model attacked",
 "vector_family": "other",
 "vector_detail": "misconfigured_datastore",
 "guardrail_kind": [
  "unknown"
 ],
 "guardrail_outcome": "silent",
 "xrefs": {
  "aiid": [
   1070
  ],
  "atlas": [],
  "cve": [],
  "ghsa": []
 },
 "primary_asi": "ASI02",
 "agent_framework": "unknown",
 "model_provider": "unknown",
 "model_name": "",
 "detection_mechanism": "unknown",
 "tool_access": "unknown",
 "financial_loss_band": "unknown",
 "eai_category": "sensitive_data_exposure",
 "eai_domain": "privacy",
 "eai_secondary": [
  "credential_theft"
 ],
 "eai_reason": "subcategory: PII Leakage",
 "asi_curated": [],
 "asi_scope": "in_scope",
 "asi_provenance": "rule",
 "asi_reason": "ASI02 (impact=tool_misuse)",
 "submitted_by": "EAI Internal"
}