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GTM Coach GPT — agentic threat model

5.8AIVSS 5.8 · Medium

GTM Coach GPT is a low-risk, informational assistant focused on marketing and sales strategy. Its primary security risks are limited to prompt injection and the potential exposure of proprietary business plans shared by users during coaching sessions.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 4.8AARS uplift 1.04Factor sum 2.1/10Threat ×0.95Mitigation ×1.0
Autonomy of Action
0.20
Goal-Driven Planning
0.30
Self-Modification
0.00
Dynamic Tool Use
0.20
Persistent Memory
0.10
Contextual Awareness
0.40
Dynamic Identity
0.00
Multi-Agent Interactions
0.00
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 built on top of OpenAI's GPT foundation models. Vulnerable to standard LLM risks such as prompt injection, jailbreaking, and adversarial inputs that could manipulate coaching advice or leak system prompts.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — relies on pre-trained GTM knowledge and real-time web search. It is vulnerable to indirect prompt injection if the web search tool retrieves poisoned web content designed to hijack the session.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — likely utilizes the standard OpenAI GPT builder framework. Risks include insecure tool integration if the web search capability is not properly constrained or if user inputs are passed unsanitized.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — hosted on OpenAI's ChatGPT infrastructure. Standard cloud infrastructure risks apply, but specific sandboxing or network isolation details for this custom GPT are not provided.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — no explicit monitoring, guardrails, or evaluation frameworks are mentioned to detect drift, hallucinated GTM advice, or malicious inputs.

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

Not certain from the listing — lacks explicit security certifications (e.g., SOC2) or compliance alignments mentioned in the public directory, relying entirely on the host platform's baseline security.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — operates as a standalone GPT assistant with no explicit multi-agent coordination or marketplace integrations described.

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