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FAQNow — agentic threat model

7.3AIVSS 7.3 · High

FAQNow poses a moderate security risk primarily centered on data privacy and integrity, as it connects directly to internal data sources to serve real-time answers, making it susceptible to prompt injection and indirect data poisoning.

OWASP AIVSS score rationale

AIVSS = (CVSS_Base + AARS) × Mitigation_Factor, where AARS = (10 − CVSS_Base) × (Factor_Sum / 10) × ThM
CVSS base 6.5AARS uplift 0.84Factor sum 2.4/10Threat ×1.0Mitigation ×1.0
Autonomy of Action
0.30
Goal-Driven Planning
0.20
Self-Modification
0.00
Dynamic Tool Use
0.40
Persistent Memory
0.20
Contextual Awareness
0.50
Dynamic Identity
0.10
Multi-Agent Interactions
0.00
Non-Determinism
0.40
Opacity & Reflexivity
0.30

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 specific foundation models used are not disclosed. Standard risks include prompt injection allowing users to bypass system instructions or extract underlying system prompts.

L2 · Data Operations✓ mapped

The agent pulls real-time data from user-configured data sources and periodically updates it. This introduces significant risks of indirect prompt injection and knowledge-base poisoning if malicious data is ingested from those external platforms.

L3 · Agent Frameworks✓ mapped

The orchestration framework manages data retrieval and integration with existing platforms. Vulnerabilities here include insecure tool integration and potential unauthorized data access if the tool-calling mechanism lacks strict scoping.

L4 · Deployment & Infrastructure⚠ not certain from listing

Not certain from the listing — No details are provided regarding hosting, containerization, or API security. Standard risks include insecure API endpoints and lack of network isolation between the agent and connected data sources.

L5 · Evaluation & Observability⚠ not certain from listing

Not certain from the listing — There is no mention of guardrails, output filtering, or logging mechanisms to detect anomalous queries or data exfiltration attempts.

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

Not certain from the listing — The listing does not specify how credentials for connected data sources are stored, nor does it mention compliance certifications (e.g., SOC2) or access control policies.

L7 · Agent Ecosystem⚠ not certain from listing

Not certain from the listing — No multi-agent orchestration or marketplace interactions are described. The primary ecosystem risk is cascading failure if a connected third-party platform is compromised.

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