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GoMarble AI — agentic threat model

7.1AIVSS 7.1 · High

GoMarble AI presents a moderate-to-high risk profile due to its direct integration with high-value ad accounts (Meta, Google) and e-commerce platforms (Shopify). While its agentic risk is significantly mitigated by human-in-the-loop approval workflows for campaign execution, a compromise of its API credentials or data pipeline could lead to severe data exposure or financial loss.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 7.5AARS uplift 0.88Factor sum 3.5/10Threat ×1.0Mitigation ×0.85
Autonomy of Action
0.30
Goal-Driven Planning
0.40
Self-Modification
0.00
Dynamic Tool Use
0.60
Persistent Memory
0.30
Contextual Awareness
0.70
Dynamic Identity
0.20
Multi-Agent Interactions
0.10
Non-Determinism
0.50
Opacity & Reflexivity
0.40

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 — likely relies on commercial LLMs (e.g., GPT-4) for creative intelligence and root-cause analysis. Risks include prompt injection altering campaign recommendations or bypassing approval gates.

L2 · Data Operations✓ mapped

Integrates with Shopify, GA4, Meta, and Google Ads. Risks include data exfiltration of sensitive customer/financial data, and API data poisoning leading to skewed ROAS/CPA analysis.

L3 · Agent Frameworks✓ mapped

Orchestrates API calls to ad platforms and Shopify. Risks include insecure tool integration where a compromised agent could execute unauthorized ad spend or campaign modifications if approval checks are bypassed.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — SaaS deployment likely hosted on public cloud. Risks include insecure storage of OAuth tokens/API keys for Meta, Google, and Shopify.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — no explicit mention of guardrails or drift monitoring. Risks include silent failures in performance tracking or undetected drift in creative analysis models.

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

Requires OAuth/API access to high-value marketing and e-commerce platforms. Compliance risks include GDPR/CCPA implications of accessing Shopify customer data and GA4 analytics.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — operates primarily as a standalone hub connecting to standard platform APIs rather than interacting in a multi-agent ecosystem.

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

These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology. Are you the vendor? Factual corrections are free.