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AveHR — agentic threat model

9.2AIVSS 9.2 · Critical

AveHR presents a high-risk profile primarily due to the extreme sensitivity of the centralized employee PII, benefits, and recruiting data it processes, combined with a lack of disclosed security controls or guardrails.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 8.8AARS uplift 0.4Factor sum 3.3/10Threat ×1.0Mitigation ×1.0
Autonomy of Action
0.40
Goal-Driven Planning
0.30
Self-Modification
0.00
Dynamic Tool Use
0.50
Persistent Memory
0.70
Contextual Awareness
0.50
Dynamic Identity
0.20
Multi-Agent Interactions
0.10
Non-Determinism
0.30
Opacity & Reflexivity
0.30

Scored with the canonical OWASP AIVSS formula (AIVSS calculator reference); agentic risk factors estimated from the agent’s described capabilities.

MAESTRO 7-layer threat model

Per-layer threats for this agent. Layers tagged “not certain from listing” are general, caveated commentary where the public description didn’t pin that layer.

L1 · Foundation Models⚠ not certain from listing

Not certain from the listing — The specific LLMs used for resume parsing or workflow automation are not disclosed. Potential threats include prompt injection bypassing ATS filters or model bias in applicant screening.

L2 · Data Operations✓ mapped

High confidence — The agent processes highly sensitive PII, benefits data, and applicant resumes. Threats include unauthorized data exfiltration, database injection via resume uploads, and lack of data lineage for compliance.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — The orchestration framework is proprietary. Threats include insecure tool integration with ATS/benefits APIs and potential tool misuse if prompt injection manipulates workflow execution.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — Hosting details are undisclosed. Threats include container compromise, unauthorized access to centralized HR databases, and insecure API endpoints.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — No monitoring or guardrail mechanisms are specified. Threats include undetected drift in resume screening bias and lack of audit logs for automated HR decisions.

L6 · Security & Compliance (cross-cutting)✓ mapped

High confidence — Handling employee data and benefits triggers strict regulatory requirements (GDPR, CCPA, HIPAA). Threats include non-compliance due to inadequate access controls, lack of encryption, or insufficient audit trails.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — No multi-agent interactions are described. Threats are limited to third-party integrations with external ATS or benefits providers.

MAESTRO — the 7-layer agentic threat-modeling framework (Cloud Security Alliance / Ken Huang).