AgentReadyHomeAgent Listing

← Unframe AI

Unframe AI — agentic threat model

9.4AIVSS 9.4 · Critical

Unframe AI presents a high-risk profile due to its deep enterprise-wide integration and autonomous workflow automation capabilities (e.g., processing sales quotes), which could lead to significant financial or operational impact if compromised.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 8.5AARS uplift 0.93Factor sum 5.9/10Threat ×1.05Mitigation ×1.0
Autonomy of Action
0.80
Goal-Driven Planning
0.70
Self-Modification
0.20
Dynamic Tool Use
0.80
Persistent Memory
0.50
Contextual Awareness
0.80
Dynamic Identity
0.40
Multi-Agent Interactions
0.40
Non-Determinism
0.60
Opacity & Reflexivity
0.70

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 — Unframe AI likely wraps proprietary or third-party foundation models. Threats include prompt injection that could manipulate automated business logic, such as altering sales quote calculations.

L2 · Data Operations⚠ not certain from listing

Not certain from the listing — The platform leverages enterprise-wide data for insights, implying RAG or vector store usage. Threats include unauthorized data exfiltration and poisoning of the enterprise knowledge base.

L3 · Agent Frameworks⚠ not certain from listing

Not certain from the listing — The orchestration framework automates multi-step workflows. Threats include insecure tool integration and unauthorized execution of enterprise APIs during automated tasks.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — As a closed-source enterprise platform, deployment details are unspecified. Threats include container escape, privilege escalation, and insecure handling of enterprise API secrets.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — No monitoring, logging, or guardrail mechanisms are detailed. Gaps here could lead to undetected prompt injections or silent failures in automated workflows.

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

Not certain from the listing — Enterprise deployment demands strict IAM, RBAC, and compliance alignment, but no specific security certifications (e.g., SOC2) are mentioned in the listing.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — The platform supports resellers and collaborative solutions, suggesting a multi-tenant ecosystem. Threats include cross-tenant data leakage and compromised reseller-deployed agents.

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