Gentek.ai — agentic threat model
Gentek.ai presents a high-risk profile due to its access to sensitive corporate data and its role in generating regulatory compliance reports, where integrity and confidentiality failures could lead to severe legal and financial penalties.
OWASP AIVSS score rationale
| Autonomy of Action | 0.60 | |
| Goal-Driven Planning | 0.70 | |
| Self-Modification | 0.10 | |
| Dynamic Tool Use | 0.50 | |
| Persistent Memory | 0.40 | |
| Contextual Awareness | 0.70 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.30 | |
| 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.
Not certain from the listing — likely relies on commercial LLMs fine-tuned or prompted for regulatory compliance. Threats include prompt injection altering compliance logic or model hallucination generating false compliance data.
Not certain from the listing — requires access to internal corporate databases, regulatory PDFs, and compliance standards. Threats include data poisoning of the compliance knowledge base or unauthorized exfiltration of sensitive corporate data.
Not certain from the listing — orchestrates data retrieval and report generation. Threats include insecure tool integration (e.g., database connectors) and prompt injection leading to unauthorized tool execution.
Not certain from the listing — likely hosted in a cloud environment with access to internal networks. Threats include container compromise or exposure of API keys used to access regulatory portals.
Not certain from the listing — requires strict auditability and drift detection to ensure compliance reports remain accurate over time. Threats include blind spots in logging that allow silent compliance failures.
Not certain from the listing — although the agent's purpose is compliance, its own security controls (authZ, audit logs) are unspecified. Threats include lack of strict access controls leading to unauthorized report generation.
Not certain from the listing — no explicit multi-agent or marketplace interactions mentioned. Threats include potential cascading failures if upstream data-gathering agents are compromised.
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.