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Raj priye — agentic threat model

7.2AIVSS 7.2 · High

Super Proposal is primarily a collaborative document generation and client management SaaS with low agentic autonomy, posing risks mainly related to sensitive client data exposure and prompt injection within proposal templates.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 6.5AARS uplift 0.74Factor sum 2.1/10Threat ×1.0Mitigation ×1.0
Autonomy of Action
0.20
Goal-Driven Planning
0.20
Self-Modification
0.00
Dynamic Tool Use
0.20
Persistent Memory
0.40
Contextual Awareness
0.30
Dynamic Identity
0.10
Multi-Agent Interactions
0.10
Non-Determinism
0.40
Opacity & Reflexivity
0.20

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 utilizes external foundation models for generating proposal content. Primary threats include prompt injection leading to brand-damaging outputs or model-based data leakage.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — Manages client data, templates, and analytics. Risks include unauthorized access to the underlying database, data exfiltration of sensitive business proposals, and lack of data lineage controls.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — Orchestration appears limited to template rendering and basic LLM calls. Vulnerabilities may exist in how user inputs are sanitized before being passed to the generation framework.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — Hosted as a web application. Standard cloud infrastructure threats apply, including potential API exposure, insecure direct object references (IDOR) to proposals, and lack of tenant isolation.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — No explicit mention of LLM guardrails, output monitoring, or drift detection. Gaps here could allow hallucinated or inappropriate content to be sent directly to clients.

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

Not certain from the listing — While it features 'Client Management' and 'Collaborative Editing', there is no detailed information on role-based access control (RBAC), data encryption standards, or compliance certifications.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — Operates largely as a standalone SaaS tool. Ecosystem risks are low unless integrated with external CRM marketplaces or third-party automated agents.

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