Knowlix AI Helper — agentic threat model
Knowlix AI Helper presents a moderate-to-high risk profile primarily centered on data confidentiality, as it processes sensitive multi-language corporate documents via APIs with high autonomy. The lack of explicit security controls or sandboxing in the public listing increases the potential impact of prompt injection or data exfiltration.
OWASP AIVSS score rationale
| Autonomy of Action | 0.60 | |
| Goal-Driven Planning | 0.40 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.50 | |
| Persistent Memory | 0.20 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.10 | |
| Multi-Agent Interactions | 0.30 | |
| Non-Determinism | 0.40 | |
| Opacity & Reflexivity | 0.50 |
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.
Not certain from the listing — likely utilizes commercial LLMs for zero-shot document processing. The primary threat is indirect prompt injection via malicious text embedded within processed documents, potentially leading to mis-aligned outputs or data leakage.
Not certain from the listing — processes multi-language documents. Vulnerable to data exfiltration of sensitive corporate documents and potential knowledge-base poisoning if document contents are indexed or cached in vector stores.
Not certain from the listing — mentions customizable workflows and agentic AI. Vulnerable to insecure tool integration and workflow manipulation if the API allows arbitrary execution or file routing based on untrusted document inputs.
Not certain from the listing — deployed as a paid API service. Vulnerable to standard API security risks, including unauthorized access, lack of rate limiting, and potential container/host compromise if document parsing libraries are exploited.
Not certain from the listing — claims high accuracy and precision, but does not detail any evaluation frameworks, real-time guardrails, or logging mechanisms to detect anomalous document processing behavior.
Not certain from the listing — despite being a paid vertical API, the listing does not specify compliance certifications (e.g., SOC2, ISO 27001, GDPR) or robust identity and access management controls.
Not certain from the listing — references 'AI Helpers' in the plural, but does not explicitly detail multi-agent coordination, delegation, or marketplace interactions that could lead to cascading failures.
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.