Navan AI — agentic threat model
Navan AI presents a moderate-to-high risk profile due to its integration with e-commerce platforms and inventory systems, where automated actions could lead to unauthorized catalog modifications or data exposure. The use of generative AI for fashion design also introduces non-deterministic output risks and intellectual property concerns.
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 | 0.30 | |
| Contextual Awareness | 0.50 | |
| Dynamic Identity | 0.20 | |
| Multi-Agent Interactions | 0.10 | |
| Non-Determinism | 0.60 | |
| 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.
Uses computer vision models for product categorization and generative AI models for fashion design. Key threats include adversarial examples designed to misclassify products and model stealing of proprietary fashion generation pipelines.
Processes e-commerce product catalogs, inventory data, and fashion design assets. Risks include data poisoning (e.g., uploading malicious images to disrupt categorization) and unauthorized exfiltration of proprietary design assets.
Orchestrates automation tasks such as adding items to websites and managing inventory. Threats include insecure tool integration with e-commerce CMS platforms and unauthorized database modifications due to tool misuse.
Not certain from the listing — likely hosted on cloud infrastructure to serve e-commerce clients, but specific sandboxing, network isolation, or secrets management practices are not detailed.
Not certain from the listing — there is no mention of continuous monitoring, drift detection for computer vision models, or guardrails to prevent inappropriate generative fashion outputs.
Not certain from the listing — the platform is closed-source and contact-for-pricing, with no explicit mention of compliance standards (e.g., SOC 2, GDPR) or robust identity and access management controls.
Not certain from the listing — while it integrates with external e-commerce ecosystems, there is no explicit mention of multi-agent coordination or marketplace interactions.
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.