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AIShain — agentic threat model

7.4AIVSS 7.4 · High

AIShain presents a moderate-to-high risk profile due to its integration with sensitive business channels like email and databases, though this is partially mitigated by a mandatory human-in-the-loop approval step before final actions are executed.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 8.5AARS uplift 0.69Factor sum 4.6/10Threat ×1.0Mitigation ×0.8
Autonomy of Action
0.50
Goal-Driven Planning
0.60
Self-Modification
0.10
Dynamic Tool Use
0.70
Persistent Memory
0.40
Contextual Awareness
0.60
Dynamic Identity
0.50
Multi-Agent Interactions
0.10
Non-Determinism
0.60
Opacity & Reflexivity
0.50

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 underlying LLMs are not specified. Standard threats like prompt injection (especially via incoming emails) could lead to unauthorized database queries or malicious email generation.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — The database fetching and Google Sheets integration imply data operations, but the storage, vectorization, or caching mechanisms are not detailed. Threats include unauthorized data exfiltration or database poisoning.

L3 · Agent Frameworks✓ mapped

AIShain orchestrates workflows based on bullet-point instructions. Insecure tool integration (Email, DB, Sheets) and indirect prompt injection via the 'Receive Email' feature are major threats that could lead to tool misuse.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — The hosting environment, sandboxing of workflow execution, and secrets management for database/email credentials are not disclosed.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — No details on automated logging, guardrails, or drift detection are provided, though the 'human approval' step acts as a manual observability and gatekeeping mechanism.

L6 · Security & Compliance (cross-cutting)⚠ not certain from listing

Not certain from the listing — Compliance standards (like SOC2, GDPR) or identity/access management policies for the 'employee' agent are not specified.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — There is no mention of multi-agent interactions or a marketplace ecosystem.

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